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          Machine Learning Solution Architect - HP - Fort Collins, CO      Cache   Translate Page   Web Page Cache   
Working with Light House customers and HP labs, identify and model representative Machine Learning work flows....
From HP - Tue, 03 Apr 2018 11:35:03 GMT - View all Fort Collins, CO jobs
          Sr Director, Growth Marketing Technology - eBay Inc. - Bellevue, WA      Cache   Translate Page   Web Page Cache   
Further, the Marketing Tech Leader will apply the latest data analysis and machine learning technologies to innovate applications in both BI analysis and...
From eBay Inc. - Fri, 01 Jun 2018 08:04:49 GMT - View all Bellevue, WA jobs
          Software Engineer - Machine Learning - Convoy - Seattle, WA      Cache   Translate Page   Web Page Cache   
Today, we use machine learning to figure out freight prices, shipment relevance for carriers, auction bidding strategy, and other internal processes....
From Convoy - Sat, 19 May 2018 10:13:22 GMT - View all Seattle, WA jobs
          Comment on Apple combines machine learning and Siri teams under John Giannandrea by yojimbo007      Cache   Translate Page   Web Page Cache   
Please bring Apple AI, from spell check to contextual word recognition/understanding to search and siri...etc....out of the slums.. its embarrassing . 🙏🙏🙏🤞🤞🤞
          Comment on Apple combines machine learning and Siri teams under John Giannandrea by John Dingler, artist      Cache   Translate Page   Web Page Cache   
Led by an an Italian-American! ("Dingler" is my step dad's name.)
          Machine Learning - Accenture - Bengaluru, Karnataka      Cache   Translate Page   Web Page Cache   
Accenture Technology powers our clients’ businesses with innovative technologies—established and emerging—changing the way their people and customers experience...
From Accenture - Wed, 04 Jul 2018 01:07:28 GMT - View all Bengaluru, Karnataka jobs
          Lynda.com: MySQL for Advanced Analytics: Tips, Tricks, & Techniques      Cache   Translate Page   Web Page Cache   
MySQL is an excellent database for advanced analytics, but few analysts use it that way because they aren't fully aware of its capabilities in this area. Analysts end up writing code to perform common tasks—which can be time-consuming—rather than using MySQL to do the same work. In this course, learn tips and techniques for using MySQL for advanced data analytics. Kumaran Ponnambalam walks through the different stages of analytics, from data ingestion and transformation to generating statistics. In each stage, Kumaran focuses on letting MySQL do the heavy lifting rather than writing code in Java or Python. Discover how to perform data cleansing through MySQL update commands, find peak usage of any resource, perform centering and scaling of data to prepare for machine learning, and more. Plus, Kumaran shows how you can link MySQL with Microsoft Excel to get the best of both worlds.
          John Giannandrea, Former Google Executive, Is Apple’s Chief of Machine Learning and AI Strategy      Cache   Translate Page   Web Page Cache   
Earlier this year The New York Times reported that Apple had made a big new hire: John Giannandrea, at the time Google's Chief of Search and Artificial Intelligence. Today Giannandrea officially joined the ranks of Apple's leadership page on Apple.com. As part of Giannandrea's employee profile, we learn his official title with Apple: 'Chief of […]
          Google’s new responsive Search ads, local campaigns, & YouTube ads all leverage ML      Cache   Translate Page   Web Page Cache   

Google unveiled a big revamp for all its advertising products last month that simplified branding and introduced new features. Numerous services will be consolidated and better integrated with one another. Today, at Google Marketing Live, the company is better detailing these changes that leverage machine learning.

more…


          Google's longtime AI boss is now in charge of Apple Siri - CNET      Cache   Translate Page   Web Page Cache   
Meet John Giannandrea, Apple's new chief of machine learning and AI strategy.
          Google's longtime AI boss is now in charge of Apple Siri - CNET      Cache   Translate Page   Web Page Cache   
Meet John Giannandrea, Apple's new chief of machine learning and AI strategy.
          Google Puts Machine Learning in the Hands of Advertisers      Cache   Translate Page   Web Page Cache   
Alphabet's Google introduced new ad-buying tools on Tuesday that showcase its push to allow machines fine-tune ads and determine where they should run.
          CB4 and Dash In Food Stores Partner to Increase Same-Store Growth Through Machine Learning      Cache   Translate Page   Web Page Cache   
NEW YORK, July 10, 2018 /PRNewswire/ -- Today CB4 and Maryland-based c-store chain Dash In Food Stores announced their partnership to improve same-store growth and customer experience by solving in-store operational issues with CB4's patented machine learning software.
          Senior Data Scientist - SourceDirect Consulting Limited - Toronto, ON      Cache   Translate Page   Web Page Cache   
You will apply your quantitative analysis, data mining and machine learning expertise to make sense of the vast quantities of our operational data and will help...
From SourceDirect Consulting Limited - Tue, 08 May 2018 17:06:23 GMT - View all Toronto, ON jobs
          Platform Scientist - integrate.ai - Toronto, ON      Cache   Translate Page   Web Page Cache   
A Degree in Machine Learning, Applied Statistics, Computer Science, or a related quantitative discipline. At integrate.ai, our mission is to build a future in...
From Integrate.ai - Tue, 15 May 2018 23:52:38 GMT - View all Toronto, ON jobs
          Mindsphere Principal PreSales Solutions Consultant - West, US - Siemens AG - Seattle, WA      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:42:27 GMT - View all Seattle, WA jobs
          Mindsphere Principal PreSales Solutions Consultant - South Central, US - Siemens AG - Dallas, TX      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:43:00 GMT - View all Dallas, TX jobs
          Mindsphere Principal PreSales Solutions Consultant - Siemens - Austin, TX      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens - Tue, 03 Jul 2018 03:23:32 GMT - View all Austin, TX jobs
          The Google superstar Apple poached is now in charge of Siri (AAPL)      Cache   Translate Page   Web Page Cache   

John Giannandrea

  • Apple announced that it will combine its machine learning, artificial intelligence, and Siri groups.
  • They will report to John Giannandrea, who Apple poached from Google earlier this year. 

Apple announced on Tuesday that it combining many of its machine learning-focused teams under John Giannandrea, a Google veteran that the iPhone maker poached earlier this year.

Apple is moving its existing Siri and "Core ML" groups under him, a spokesperson confirmed to Business Insider. Giannandrea will lead a new "AI/ML" team at Apple. 

According to a bio added to Apple's leadership page on Tuesday, he reports to CEO Tim Cook and his title is "Chief of Machine Learning and AI Strategy." He is one of 16 executives who report directly to Cook. 

From his bio: 

"Prior to Apple, John spent 8 years at Google where he led the Machine Intelligence, Research, and Search teams. Before this he co-founded two technology companies, Tellme Networks and Metaweb Technologies. Earlier in his career John was a Senior Engineer at General Magic."

When Giannandrea unexpectedly stepped down at Google to join Apple, it was a big deal. He was the chief of search and artificial intelligence at Google during a period where the search giant embraced the technologies.

The New York Times said he was "perhaps the most eligible tech executive on the market" during the brief period before he announced he planned to work for Apple. 

Apple has another high-profile machine learning expert on staff, Carnegie Mellon professor Russ Salakhutdinov. 

Join the conversation about this story »

NOW WATCH: We interviewed Pepper - the humanoid robot


          Mindsphere Principal PreSales Solutions Consultant - West, US - Siemens AG - Seattle, WA      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:42:27 GMT - View all Seattle, WA jobs
          Data Architect - Remote West coast - Insight Enterprises, Inc. - Dallas, TX      Cache   Translate Page   Web Page Cache   
R, Azure Machine Learning. 2017 Arizona’s Most Admired Companies (AZ Business Magazine), 2016 Best Places to Work (Phoenix Business Journal)....
From Insight - Mon, 14 May 2018 23:57:10 GMT - View all Dallas, TX jobs
          University Recruiter (Contract) - Intel - Hillsboro, OR      Cache   Translate Page   Web Page Cache   
Inside this Business Group. High level understanding of AI, Deep Learning, Machine Learning, etc. Regularly monitor candidate pipeline activity and share...
From Intel - Wed, 20 Jun 2018 10:37:58 GMT - View all Hillsboro, OR jobs
          Google introduces machine learning ad tools and brands are hot for them      Cache   Translate Page   Web Page Cache   

Responsive search ads, brand lift measurement on YouTube, smart shopping, and more dynamic local ads all announced at Google Marketing Live event.

In the wake of consumer data scandals like Cambridge Analytica, heightened scrutiny for targeted advertising practices, and marketers’ concerns that their ads will appear alongside questionable or offensive content, brands face ever-increasing challenges to effectively reach consumers across the plethora of digital platforms and devices. Google, whose revenue overwhelmingly relies upon marketers not being anxious about digital advertising, addressed a handful of these issues today, unveiling a number of new tools for advertisers, all rooted in machine learning.

Read Full Story


          Computer Vision/Machine Learning Expert - Best Barcode System Pvt Ltd - Sahibabad, Uttar Pradesh      Cache   Translate Page   Web Page Cache   
Understand problem statement and build product prototypes and solutions. 2+ years of experience in understanding and ability to implement algorithms in vision... ₹2,00,000 - ₹6,00,000 a year
From Indeed - Wed, 27 Jun 2018 01:39:54 GMT - View all Sahibabad, Uttar Pradesh jobs
          DeepLens Challenge #1 Starts Today – Use Machine Learning to Drive Inclusion      Cache   Translate Page   Web Page Cache   
Are you ready to develop and show off your machine learning skills in a way that has a positive impact on the world? If so, get your hands on an video camera and join the AWS DeepLens Challenge! About the Challenge Working together with our friends at Intel, we are launching the first in a […]
          Economist - Forecasting - Amazon.com - Seattle, WA      Cache   Translate Page   Web Page Cache   
Experience with machine learning applications. We are breaking fresh ground, pioneering in a program that is crucial for future Amazon growth, and our business...
From Amazon.com - Wed, 27 Jun 2018 07:21:23 GMT - View all Seattle, WA jobs
          VP, Digital Content Programs - Elsevier - Philadelphia, PA      Cache   Translate Page   Web Page Cache   
These could include innovation leveraging machine learning and artificial intelligence technologies. To ensure the needs of the business are understood and...
From RELX Group - Mon, 02 Apr 2018 20:08:16 GMT - View all Philadelphia, PA jobs
          SearchCap: SMX East agenda, Google Marketing Live recaps, Bing Ads & more      Cache   Translate Page   Web Page Cache   

Below is what happened in search today, as reported on Search Engine Land and from other places across the web.

From Search Engine Land:

Recent Headlines From Marketing Land, Our Sister Site Dedicated To Internet Marketing:

Search News From Around The Web:


          SearchCap: Google speed update, SEO glossary, content outreach and more      Cache   Translate Page   Web Page Cache   

Below is what happened in search today, as reported on Search Engine Land and from other places across the web.

From Search Engine Land:

Recent Headlines From Marketing Land, Our Sister Site Dedicated To Internet Marketing:

Search News From Around The Web:


          Mindsphere Principal PreSales Solutions Consultant - West, US - Siemens AG - Seattle, WA      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:42:27 GMT - View all Seattle, WA jobs
          Mindsphere Principal PreSales Solutions Consultant - South Central, US - Siemens AG - Dallas, TX      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:43:00 GMT - View all Dallas, TX jobs
          Mindsphere Principal PreSales Solutions Consultant - Siemens - Austin, TX      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens - Tue, 03 Jul 2018 03:23:32 GMT - View all Austin, TX jobs
          Economist - Forecasting - Amazon.com - Seattle, WA      Cache   Translate Page   Web Page Cache   
Experience with machine learning applications. We are breaking fresh ground, pioneering in a program that is crucial for future Amazon growth, and our business...
From Amazon.com - Wed, 27 Jun 2018 07:21:23 GMT - View all Seattle, WA jobs
          VP, Digital Content Programs - Elsevier - Philadelphia, PA      Cache   Translate Page   Web Page Cache   
These could include innovation leveraging machine learning and artificial intelligence technologies. To ensure the needs of the business are understood and...
From RELX Group - Mon, 02 Apr 2018 20:08:16 GMT - View all Philadelphia, PA jobs
          Solutions Architect - NVIDIA - Washington State      Cache   Translate Page   Web Page Cache   
Assist field business development in through the enablement process for GPU Computing products, technical relationship and assisting machine learning/deep...
From NVIDIA - Fri, 20 Apr 2018 08:02:03 GMT - View all Washington State jobs
          Embedded ML Developer - Erwin Hymer Group North America - Virginia Beach, VA      Cache   Translate Page   Web Page Cache   
NVIDIA VisionWorks, OpenCV. Game Development, Accelerated Computing, Machine Learning/Deep Learning, Virtual Reality, Professional Visualization, Autonomous...
From Indeed - Fri, 22 Jun 2018 17:57:58 GMT - View all Virginia Beach, VA jobs
          Solutions Architect - NVIDIA - Virginia      Cache   Translate Page   Web Page Cache   
Build and cultivate internal understanding of data analytics and machine learning among the NVIDIA technical community....
From NVIDIA - Sun, 03 Jun 2018 08:00:36 GMT - View all Virginia jobs
          Solutions Architect - NVIDIA - Maryland      Cache   Translate Page   Web Page Cache   
You will also be an internal champion for Data Analytics and Machine Learning among the NVIDIA technical community....
From NVIDIA - Sun, 08 Jul 2018 07:55:18 GMT - View all Maryland jobs
          Senior Solution Architect - Cyber Security - NVIDIA - Maryland      Cache   Translate Page   Web Page Cache   
You will also be an internal champion for Cyber Security and Machine Learning among the NVIDIA technical community....
From NVIDIA - Mon, 02 Apr 2018 08:01:16 GMT - View all Maryland jobs
          Vice President of Engineering - IDx LLC - Coralville, IA      Cache   Translate Page   Web Page Cache   
Work with world-renowned doctors who are pushing the limits of machine learning in medicine. Build a performance driven Engineering team through the development...
From IDx LLC - Tue, 17 Apr 2018 23:17:11 GMT - View all Coralville, IA jobs
          Solutions Architect - NVIDIA - Santa Clara, CA      Cache   Translate Page   Web Page Cache   
Build and cultivate internal understanding of data analytics and machine learning among the NVIDIA technical community....
From NVIDIA - Sun, 10 Jun 2018 14:00:22 GMT - View all Santa Clara, CA jobs
          Solutions Architect, Accelerated Computing - NVIDIA - Santa Clara, CA      Cache   Translate Page   Web Page Cache   
Assist field business development in through the enablement process for GPU Computing products, technical relationship and assisting machine learning/deep...
From NVIDIA - Wed, 30 May 2018 01:55:35 GMT - View all Santa Clara, CA jobs
          Developing Universal Windows app using WinML model exported from Custom Vision      Cache   Translate Page   Web Page Cache   
[日本語版はこちら] Cognitive Services Custom Vision service is pre-build and customizable image classification & now object detection machine learning models builder, just uploading some photos to detect. You can use your ML models as Web API, also download in several format to use in your app, like CoreML for iOS, TensorFlow for Android, ONNX-based WinML for Windows, and now Docker...
          DeepLens Challenge #1 Starts Today – Use Machine Learning to Drive Inclusion      Cache   Translate Page   Web Page Cache   
Are you ready to develop and show off your machine learning skills in a way that has a positive impact on the world? If so, get your hands on an video camera and join the AWS DeepLens Challenge! About the Challenge Working together with our friends at Intel, we are launching the first in a […]
          Apple combines machine learning and Siri teams under John Giannandrea      Cache   Translate Page   Web Page Cache   
Apple is creating a new AI/ML team that brings together its Core ML and Siri teams...
          Box acqui-hires team from machine learning startup Butter.ai      Cache   Translate Page   Web Page Cache   
Box said the deal will allow the company to bring more intelligent search features into its platform.

          Google infuses machine learning into suite of ad tools, takes aim at Amazon      Cache   Translate Page   Web Page Cache   
Google is making it easier and more effective for businesses implement machine learning technology into marketing campaigns, and drive physical store visits as a result.

          BUSINESS WIRE: Bertin IT verstärkt den von Atos, CEA und Ecole Normale Supérieure Paris-Saclay eingerichteten Lehrstuhl „Industrial Data Analytics & Machine Learning“      Cache   Translate Page   Web Page Cache   
MITTEILUNG UEBERMITTELT VON BUSINESS WIRE. FUER DEN INHALT IST ALLEIN DAS BERICHTENDE UNTERNEHMEN VERANTWORTLICH.Bertin IT hat sich den Hauptakteuren in diesem Projekt angeschlossen, um die Weiterentwicklung von Selbstlernmodellen auf Basis aktueller Daten aus den Softwareplattformen des Unternehmens zu fördern und die direkte...
          Machine Learning Engineer - Technica Corporation - Dulles, VA      Cache   Translate Page   Web Page Cache   
Technica Corporation is seeking a Machine Learning Engineer to support our internal Innovation, Research and Development (IRD) team....
From Technica Corporation - Mon, 12 Mar 2018 06:07:33 GMT - View all Dulles, VA jobs
          Nvidia y el MIT entrenan a una IA para eliminar marcas de agua y ruido de fotografías y resonancias magnéticas (ING)      Cache   Translate Page   Web Page Cache   

Un grupo de investigadores de Nvidia, el MIT y la Universidad de Aalto quieren acabar con el ruido en las fotografías. Lo están haciendo entrenando a un sistema de inteligencia artificial al que han llamado Noise2Noise, y al que han estado entrenando con 50.000 imágenes de ImageNet, escaneos de resonancias magnéticas, e imágenes generadas por ordenador. Se podrá usar en fotos astronómicas o en imágenes biomédicas y será presentado en la Conferencia Internacional de Machine Learning de Estocolmo. En español: bit.ly/2KMcr2O

etiquetas: nvidia, mit, machine learning, marca de agua, ruido, grano, fotografía

» noticia original (news.developer.nvidia.com)


          Machine Learning - Accenture - Bengaluru, Karnataka      Cache   Translate Page   Web Page Cache   
Accenture Technology powers our clients’ businesses with innovative technologies—established and emerging—changing the way their people and customers experience...
From Accenture - Wed, 04 Jul 2018 01:07:28 GMT - View all Bengaluru, Karnataka jobs
          How to get science research covered in the press      Cache   Translate Page   Web Page Cache   
Northeastern researchers used machine learning to uncover patterns in how the media covers science. Among their findings was that media coverage is often determined more by the subject matter of the research than by its scientific importance.
          Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2018 | insideBIGDATA      Cache   Translate Page   Web Page Cache   
In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the past month, as insideBIGDATA reports.
 

Researchers from all over the world contribute to this repository as a prelude to the peer review process for publication in traditional journals. arXiv contains a veritable treasure trove of learning methods you may use one day in the solution of data science problems. We hope to save you some time by picking out articles that represent the most promise for the typical data scientist. The articles listed below represent a fraction of all articles appearing on the preprint server. They are listed in no particular order with a link to each paper along with a brief overview. Especially relevant articles are marked with a “thumbs up” icon. Consider that these are academic research papers, typically geared toward graduate students, post docs, and seasoned professionals. They generally contain a high degree of mathematics so be prepared. 
Enjoy!
Read more...

Source: insideBIGDATA

          Oracle Recognized as a Leader in 2018 Gartner Magic Quadrant for Access Management, Worldwide       Cache   Translate Page   Web Page Cache   

Press Release 

Also received highest score for Global-Enterprise Use Case in 2018 Gartner Critical Capabilities for Identity Governance and Administration 

Redwood Shores Calif—Jul 10, 2018 

Oracle today announced that it has been named a Leader in Gartner’s 2018 Magic Quadrant for Access Management, Worldwide1. It was also given the highest product score in the Global-Enterprise Use Case in Gartner’s 2018 Critical Capabilities for Identity Governance and Administration2. Additionally, earlier this year, Oracle was named a Leader in Gartner’s 2018 Magic Quadrant for Identity Governance and Administration report for the fifth consecutive time.3 

Today’s advanced security threats require proactive and intelligent automation that can quickly scale with a rapidly changing IT environment. Oracle’s security portfolio provides a comprehensive set of integrated solutions designed to help reduce the time required to respond to security threats. Oracle helps organizations predict, prevent, detect, and respond to the overwhelming number of security events that challenge IT and security operations. Oracle employs a multilayered security approach that helps organizations secure their entire cloud, including users, apps, data, and infrastructure. 

“The rapid growth of users, applications, data, and infrastructure makes it hard for organizations to keep pace with the multitude of security threats,” said Eric Olden, senior vice president and general manager, security and identity, Oracle. “Using state-of-the-art machine learning and adaptive security, coupled with identity governance, Oracle’s comprehensive security platform is designed to help organizations protect data, including by limiting who has access to that data.” 

According to Gartner, “Leaders in the access management market generally have significant customer bases. They provide feature sets that are appropriate for current customer use-case needs. Leaders also show evidence of strong vision and execution for anticipated requirements related to technology, methodology or means of delivery; and they show evidence of how access management plays a role in a collection of related or adjacent product offerings. Leaders typically demonstrate solid customer satisfaction with overall access management capabilities, the sales process, and/or related service and support.” 

The Critical Capabilities for Identity Governance and Administration report gave Oracle the highest score for the Global-Enterprise use case. Gartner states that IGA tools “help organizations control access risks by managing user accounts and entitlements in infrastructure systems and applications enterprisewide.” The assessment highlighted 16 vendors. Gartner evaluated them against 11 critical capabilities and 4 uses cases. The capabilities were Access Certification, Access Requests, Auditing, Ease of Deployment, Entitlements Management, Fulfillment, Identity Life Cycle, Policy and Role Management, Reporting and Analytics, Scalability and Performance, and Workflow. 

Download a copy of Gartner’s 2018 Magic Quadrant for Access Management, Worldwide report here

Download a copy of Gartner’s 2018 Critical Capabilities for Identity Governance and Administration report here

Download a copy of Gartner’s Gartner’s 2018 “Magic Quadrant for Identity Governance and Administration” here

1. Source: Gartner, Magic Quadrant for Access Management, Worldwide, Gregg Kreizman, 18 June 2018
2. Source: Gartner, Critical Capabilities for Identity Governance and Administration, Brian Iverson, Kevin Kampman, Felix Gaehtgens, 5 June 2018
3. Source: Gartner, Magic Quadrant for Identity Governance and Administration, Felix Gaehtgens, Kevin Kampman, Brian Iverson, 21 February 2018 

Gartner Disclaimer
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

· 
Connect with Oracle Cloud Security on Twitter and via Oracle Cloud Security Blog

Contact Info 

Jesse Caputo
Oracle
+1.650.506.5967

          Apple combines machine learning and Siri teams under Giannandrea      Cache   Translate Page   Web Page Cache   
Apple is creating a new AI/ML team that brings together its Core ML and Siri teams under one leader in John Giannandrea. Apple confirmed this morning that the combined Artificial Intelligence and Machine Learning team, which houses Siri, will be led by the recent hire, who came to Apple this year after an eight-year stint […]
          Software Engineer - Microsoft - Redmond, WA      Cache   Translate Page   Web Page Cache   
We strive to deliver a distributed and highly scalable eco-system that employs machine learning, change modelling, automation of business processes and...
From Microsoft - Mon, 07 May 2018 23:00:24 GMT - View all Redmond, WA jobs
          Applying Machine Learning Algorithms to Map-Making      Cache   Translate Page   Web Page Cache   
Center for Data Innovation: “GPS service provider Telanav has released a dataset of over 50,000 street-level images of common road signs to foster the development of machine learning algorithms for map-making. The images are manually annotated and include more than 55,000 signs from over twenty types of signs, including traffic, turn restriction, and speed limit […]
          Google introduces machine learning ad tools and brands are hot for them – Fast Company      Cache   Translate Page   Web Page Cache   
Fast CompanyIn the wake of consumer data scandals like Cambridge Analytica, heightened scrutiny for targeted advertising practices, and marketers’ concerns that their ads will appear alongside questionable or offensive content, brands face ever-increasing …Why and How to Integrate Facebook and Paid Search Marketing StrategiesBusiness 2 CommunityGoogle infuses machine learning into suite of ad toolsZDNetGoogle leans […]
          El CDTI respalda el proyecto de Ecertic a través del Programa NEOTEC      Cache   Translate Page   Web Page Cache   

Ecertic, la empresa tecnológica especializada en identidad digital, firma electrónica y contratación online, ha conseguido una subvención del programa NEOTEC, concedida por el Ministerio de Ciencia, Innovación y Universidades, a través del Centro de Desarrollo Tecnológico Industrial (CDTI).  La subvención NEOTEC pretende incrementar las inversiones y la ejecución de actividades I+D, impulsando también la creación y desarrollo de las empresas innovadoras mediante el apoyo a la innovación tecnológica.

Ecertic llevará esta subvención al proyecto "Nuevo servicio distribuido de acreditación de identidad digital". Una nueva plataforma que permitirá crear un ecosistema de confianza entre compañías y usuarios, posibilitando a las empresas construir un plan de transformación digital consistente, y totalmente aliado con la legislación actual y futura en términos de protección de datos, firma electrónica, identidad digital, blanqueo de capitales, etc.

"Con este impulso continuaremos potenciando el sector de la identidad digital y la contratación electrónica para dar respuesta a las necesidades de los consumidores y optimizar la experiencia de cliente”, explica Raúl Tapias, CEO y cofundador de Ecertic.

La plataforma posibilitará la acreditación de la identidad digital con unos niveles de seguridad muy superiores a los actuales, gracias a la utilización de diversas tecnologías como Inteligencia Artificial y Machine Learning. En este contexto, la figura de Ecertic como Tercero de Confianza, y su conocimiento tecnológico y cumplimiento legal, le permite ofrecer soluciones óptimas en términos de legalidad, usabilidad y escalabilidad, parámetros imprescindibles para generar confianza sobre el ecosistema de identificación digital y firma electrónica, tanto por parte de las empresas como de los consumidores.


          Apple’s John Giannandrea is Now Leading the Siri, Core ML, and Machine Learning Teams      Cache   Translate Page   Web Page Cache   
While Apple may not be adding huge feature sets to Siri’s toolbox on a regular basis, the company has not forgotten about the digital personal assistant by any means. Continue reading
          Google expands use of machine learning for advertisers by launching Responsive search ads, Maximize lift for YouTube, and more (The Keyword)      Cache   Translate Page   Web Page Cache   

The Keyword:
Google expands use of machine learning for advertisers by launching Responsive search ads, Maximize lift for YouTube, and more  —  The ways people get things done are constantly changing, from finding the closest coffee shop to organizing family photos.  Earlier this year …


          Теория Рекламы :: RE: Общая Теория Рекламы: Реклама Агрессии (комментарии) 8      Cache   Translate Page   Web Page Cache   
Автор: Dimitriy
Добавлено: 11.07.2018 1:14 (GMT 3)


Цитата:
...
Advertisers have welcomed the advanced software, which could encourage them to spend more on Google as it makes more efficient use of their money. But consumer privacy and technology analysts are watching the shift with concern and a push for more regulatory scrutiny may be coming.

In Europe, the month-old General Data Protection Regulation requires end users to consent to being the subject of some forms of automated decision making...

Google’s new ad services are developed with machine learning, in which software analyzes old sets of starting conditions and end results and then decides how to maximize a certain result based on new, real-time conditions.

Google said its machine learning now can predict when to show ads so that given a certain budget, it can maximize foot traffic to stores or favorable consumer sentiment of a brand.

It also announced broader availability of a tool that automatically chooses the best text for ads in Google search results from an advertiser-created list of up to 19 phrases.

Users making the same query might see different versions of an ad “based on context,” the company said in a blog post on Tuesday as it opens its annual conference for advertisers.
...

Материал полностью.

Реклама Агрессии.
__________________________________________________________

С умилением и отраслевыми ожиданиями, Dimitriy.


          Sr Director, Growth Marketing Technology - eBay Inc. - Bellevue, WA      Cache   Translate Page   Web Page Cache   
Further, the Marketing Tech Leader will apply the latest data analysis and machine learning technologies to innovate applications in both BI analysis and...
From eBay Inc. - Fri, 01 Jun 2018 08:04:49 GMT - View all Bellevue, WA jobs
          Software Engineer - Machine Learning - Convoy - Seattle, WA      Cache   Translate Page   Web Page Cache   
Today, we use machine learning to figure out freight prices, shipment relevance for carriers, auction bidding strategy, and other internal processes....
From Convoy - Sat, 19 May 2018 10:13:22 GMT - View all Seattle, WA jobs
          M Science launches machine learning-based transaction data platform SWIPE      Cache   Translate Page   Web Page Cache   
See the rest of the story here.

Theflyonthewall.com provides the latest financial news as it breaks. Known as a leader in market intelligence, The Fly's real-time, streaming news feed keeps individual investors, professional money managers, active traders, and corporate executives informed on what's moving stocks. Sign up for a free trial at theflyonthewall.com to see what Wall Street is buzzing about.
          Google introduces machine learning ad tools and brands are hot for them – Fast Company      Cache   Translate Page   Web Page Cache   
Fast CompanyIn the wake of consumer data scandals like Cambridge Analytica, heightened scrutiny for targeted advertising practices, and marketers’ concerns that their ads will appear alongside questionable or offensive content, brands face ever-increasing …Why and How to Integrate Facebook and Paid Search Marketing StrategiesBusiness 2 CommunityGoogle infuses machine learning into suite of ad toolsZDNetGoogle leans […]
          Apple's Siri, Machine Learning teams now under control of new hire John Giannandrea [u]      Cache   Translate Page   Web Page Cache   
Article Image

To improve the technologies at the core of Apple's future, the company has merged the Siri and Machine Learning teams into one entity, under the control of recent hire John Giannandrea.
          Software Engineer      Cache   Translate Page   Web Page Cache   
NJ-Weehawken, RESPONSIBILITIES: Kforce has a client that is seeking a Software Engineer in Weehawken, New Jersey (NJ). Summary: The client is looking for a Developer to build its Machine learning / AI team. The person will be part of small team which is taking shape. The team will be working on various AI solutions from POC to full implementation. REQUIREMENTS: 10+ years of experience in developing applications
          Data Architect - Remote West coast - Insight Enterprises, Inc. - Dallas, TX      Cache   Translate Page   Web Page Cache   
R, Azure Machine Learning. 2017 Arizona’s Most Admired Companies (AZ Business Magazine), 2016 Best Places to Work (Phoenix Business Journal)....
From Insight - Mon, 14 May 2018 23:57:10 GMT - View all Dallas, TX jobs
          Cloud Solution Architect - Microsoft - Philadelphia, PA      Cache   Translate Page   Web Page Cache   
Machine Learning (SAS, R, Python). Problem-solving mentality leveraging internal and/or external resources....
From Microsoft - Tue, 17 Apr 2018 18:34:17 GMT - View all Philadelphia, PA jobs
          Former Google AI chief will lead Apple’s new machine learning team      Cache   Translate Page   Web Page Cache   
Back in April, Google's former AI and search chief John Giannandrea left the company to join Apple for an undisclosed role. Today, the latter company announced he will head a new team combining the Core ML and Siri groups.
          Apple Updates Leadership Page to Include New AI Chief John Giannandrea      Cache   Translate Page   Web Page Cache   
Apple today updated its Apple Leadership page to include John Giannandrea, who now serves as Apple's Chief of Machine Learning and AI Strategy. Apple hired Giannandrea back in April, stealing him away from Google where he ran the search and artifici...
          5 Artificial Intelligence Business Lessons From The Masters | AI & Big Data - Forbes Now      Cache   Translate Page   Web Page Cache   
The big data and analytics market continues to morph as Artificial Intelligence (AI) fields, such as machine learning and deep learning, provide new ways to generate business insights, as Forbes Now reports. 
 
 
O’Reillys recent set of Strata Data conferences showcased how AI technologies are changing what companies can do with data across a wide range of industries. Here are four themes from Strata Data that universally apply across various industries and company sizes.

1. Both humans and machines are needed to deliver the best result.

Pinterest's VP of Engineering, Li Wan, shared the challenges and opportunities of creating a visual discovery engine. Wan described the challenges with naming an image while also understanding what’s in it and the style behind the image. Correctly defining image attributes is crucial for delivering a successful user experience. For example, a living room has multiple items in it. The company uses computer vision technology to break down the image, understand the objects within the picture and recommend similar things for you to consider.

Since there are 100 billion pins in the database, Pinterest can’t rank every pin for every user in real time. To accomplish this herculean feat, Pinterest uses a graph-based recommendation engine that filters the candidate recommendations for every user. It uses machine models to predict the engagement level of a Pinterest user to a pin and the relevance of pin for a user. It sounds like a simple classification problem, but the system not only has to detect an item, such as a chair, within millions of images. Additionally, the AI system has to understand the style of the object, requiring Pinterest to create feature vectors to help recommend an image based on a user’s style. Where does the human element come in? Data specialists clean, validate and label the data. 
Read more...

Source: Forbes Now

          4 Questions to Ask Before You Start a Machine Learning Project | Technology - Business.com      Cache   Translate Page   Web Page Cache   
Companies can't turn a blind eye to machine learning anymore, as it is so powerful at certain tasks. Answer these four questions to understand whether your business needs machine learning, and, if so, how you can adopt this technology, as Business.com reports.


AI and machine learning are making a significant impact on multiple industries and changing the landscape of our society. These are not just hot trends; they are here to stay.

Still, machine learning is not a magical solution that applies to every single use case. So often companies embark on an AI development journey without a clear understanding of the value it should bring to their business. As a result, many data science and machine learning projects don’t have clear KPIs and simply drain R&D budgets.

That’s why managers have to ask themselves four key questions to justify the need for machine learning development.
Read more...

Source: Business.com

          Software Engineer - Microsoft - Redmond, WA      Cache   Translate Page   Web Page Cache   
We strive to deliver a distributed and highly scalable eco-system that employs machine learning, change modelling, automation of business processes and...
From Microsoft - Mon, 07 May 2018 23:00:24 GMT - View all Redmond, WA jobs
          Google RankBrain SEO – How to Use Google’s AI to Your Advantage      Cache   Translate Page   Web Page Cache   
The exact way Google ranks websites has long been an enigma. Only two years ago did we get confirmation about the two most important ranking signals (hint: content and backlinks). However, you might not know that the third most important is relatively new: Google RankBrain. RankBrain is a machine learning algorithm that the search giant … The post Google RankBrain SEO – How to Use Google’s AI to Your Advantage appeared first on Torque.
          The Data Science Iron Triangle – Modern BI and Machine Learning      Cache   Translate Page   Web Page Cache   
The New Iron Triangle It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since ... - Source: vision.cloudera.com
          Apple : Siri, IA et machine learning ne font plus qu’un (département)      Cache   Translate Page   Web Page Cache   
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          Machine Learning Research Scientist - Rubikloud Technologies - Toronto, ON      Cache   Translate Page   Web Page Cache   
If you thrive in a collaborative environment working alongside data scientists, engineers, academic partners and industry experts, this is the position for you....
From Rubikloud Technologies - Sun, 08 Jul 2018 05:31:12 GMT - View all Toronto, ON jobs
          Former Google heavy-hitter now in charge of getting Apple back in the AI game      Cache   Translate Page   Web Page Cache   
It's become a bit of conventional wisdom that Apple lags its peers in tech when it comes to AI. That products like Siri may have been released early enough to give Apple what should have been a strong lead, but similar offerings from companies like Google and Amazon are an order of magnitude more useful than Apple's tools -- and getting better every day. We'll save the "why" of all that, the privacy issues and learning about users in a comprehensive way over time, for another post. What's ironic, though, is that the guy now tasked with helping change this reality at Apple, John Giannandrea, used to be in charge of machine intelligence, research and search teams at Google, of all places. Giannandrea spent eight years there, and during his stint he pushed to make AI more of a centerpiece in products like Gmail and Google Assistant. And it's Giannandrea who now leads a new unit at Apple -- a unit that has combined the company's AI and machine learning efforts, the company has confirmed. You could argue that Apple had no choice, that it needed someone with Giannandrea's chops to get itself back where it needs to be in the AI game. According to his official Apple bio, his title is the company's Chief of Machine Learning and AI Strategy, and he reports directly to CEO Tim Cook. "John joined Apple in 2018 and oversees the strategy for Artificial Intelligence and machine learning across the company and development of Core ML and Siri technologies," his bio reads. Before his time at Google, Giannandrea co-founded two tech companies, Tellme Networks and Metaweb Technologies. And before that he was a senior engineer at General Magic. How much headway he can make within the context of the general philosophy at Apple around data and user privacy -- it will be interesting to see if all of that can coexist successfully. Apple's directives right from the top mean it hasn't collected mountains of data on users the way other companies have, to which machine learning and algorithms can be applied and extract the same level of value from the way you see at a company like Google. The storyline that's emerged in the tech press in the wake of Apple making Giannandrea's new mandate clear is that this is Apple basically making up for lost time. TechCrunch, for example, points to Apple's digital assistant for a bit of context. "The haphazard way that Siri has lurched forward has got to get smoothed out if Apple is going to make a huge play for improvements in the same way that it’s doing with Maps. I think at some point there was a realization that doing (AI/machine learning) heavy lifting with the additional load of maintaining user data privacy was enough to carry without having to also maintain several different stacks for its (machine learning) tools."
          Google Pushes Machine Learning Into More Ad Tools      Cache   Translate Page   Web Page Cache   

Google will offer more machine-learning products in the coming months to help advertisers create personalized search ads, bid on YouTube ads to achieve brand lift and boost shopping and local campaigns. The company unveiled the new products Tuesday at its Google Marketing Live show, including what it said is the biggest change to how search... Continue reading »

The post Google Pushes Machine Learning Into More Ad Tools appeared first on AdExchanger.


          Le patron de l’IA chez Apple supervise aussi le développement de Siri      Cache   Translate Page   Web Page Cache   

Apple a mis à jour sa page consacrée à ses dirigeants pour accueillir John Giannandrea, embauché par l’entreprise il y a quelques mois. Il est officiellement nommé « Chief of Machine Learning and AI Strategy », ce qui veut dire qu’il aura en charge l’intelligence artificielle et notamment les processus d’apprentissage automatique.

Cet ancien de Google était déjà directement sous les ordres de Tim Cook, ce qui prouve son importance. Apple, comme ses concurrents, mise gros sur l’intelligence artificielle et ce recrutement est très important pour l’entreprise. L’annonce la plus importante de ce soir n’est pas tant l’officialisation du statut de John Giannandrea, mais le fait qu’il va également superviser le développement de Siri, comme Apple l’a indiqué à TechCrunch.

L’assistant vocal d’Apple est souvent critiqué pour ses retards par rapport à ceux de Google ou d’Amazon. C’est probablement pour cette raison que John Giannandrea dirigera deux équipes, à la fois celle dédiée Core ML et donc à l’intelligence artificielle et celle qui se charge de faire évoluer Siri. Ce dernier reposant largement sur des méthodes d’apprentissage automatique, c’est un choix logique et peut-être que cette direction unique accélérera les développements.


          Google will help advertisers deliver targeted ads to you using machine learning      Cache   Translate Page   Web Page Cache   
Google has announced that it will now be offering the powers of machine learning to advertisers over the coming months so that they can maximize their revenue by delivering targeted ads. Read more...
          Software Engineer - Microsoft - Redmond, WA      Cache   Translate Page   Web Page Cache   
We strive to deliver a distributed and highly scalable eco-system that employs machine learning, change modelling, automation of business processes and...
From Microsoft - Mon, 07 May 2018 23:00:24 GMT - View all Redmond, WA jobs
          Apple combines machine learning and Siri teams, snags former Google AI chief John Giannandrea to lead them      Cache   Translate Page   Web Page Cache   

Apple could be planning to take AI research more seriously in the future if recent reports are anything to go by. Today, the company decided to merge their artificial intelligence, machine learning, and Siri divisions under one banner, and one leader: new hire John Giannandrea.

Read Entire ArticleRead Comments


          Solutions Architect - NVIDIA - Washington State      Cache   Translate Page   Web Page Cache   
Assist field business development in through the enablement process for GPU Computing products, technical relationship and assisting machine learning/deep...
From NVIDIA - Fri, 20 Apr 2018 08:02:03 GMT - View all Washington State jobs
          Embedded ML Developer - Erwin Hymer Group North America - Virginia Beach, VA      Cache   Translate Page   Web Page Cache   
NVIDIA VisionWorks, OpenCV. Game Development, Accelerated Computing, Machine Learning/Deep Learning, Virtual Reality, Professional Visualization, Autonomous...
From Indeed - Fri, 22 Jun 2018 17:57:58 GMT - View all Virginia Beach, VA jobs
          Solutions Architect - NVIDIA - Virginia      Cache   Translate Page   Web Page Cache   
Build and cultivate internal understanding of data analytics and machine learning among the NVIDIA technical community....
From NVIDIA - Sun, 03 Jun 2018 08:00:36 GMT - View all Virginia jobs
          Solutions Architect - NVIDIA - Maryland      Cache   Translate Page   Web Page Cache   
You will also be an internal champion for Data Analytics and Machine Learning among the NVIDIA technical community....
From NVIDIA - Sun, 08 Jul 2018 07:55:18 GMT - View all Maryland jobs
          Senior Solution Architect - Cyber Security - NVIDIA - Maryland      Cache   Translate Page   Web Page Cache   
You will also be an internal champion for Cyber Security and Machine Learning among the NVIDIA technical community....
From NVIDIA - Mon, 02 Apr 2018 08:01:16 GMT - View all Maryland jobs
          Vice President of Engineering - IDx LLC - Coralville, IA      Cache   Translate Page   Web Page Cache   
Work with world-renowned doctors who are pushing the limits of machine learning in medicine. Build a performance driven Engineering team through the development...
From IDx LLC - Tue, 17 Apr 2018 23:17:11 GMT - View all Coralville, IA jobs
          Solutions Architect - NVIDIA - Santa Clara, CA      Cache   Translate Page   Web Page Cache   
Build and cultivate internal understanding of data analytics and machine learning among the NVIDIA technical community....
From NVIDIA - Sun, 10 Jun 2018 14:00:22 GMT - View all Santa Clara, CA jobs
          Solutions Architect, Accelerated Computing - NVIDIA - Santa Clara, CA      Cache   Translate Page   Web Page Cache   
Assist field business development in through the enablement process for GPU Computing products, technical relationship and assisting machine learning/deep...
From NVIDIA - Wed, 30 May 2018 01:55:35 GMT - View all Santa Clara, CA jobs
          Accuracy and Trust in Machine Learning      Cache   Translate Page   Web Page Cache   
A few weeks ago, I wrote about machine learning risks where I described four ‘buckets’ of risk that needed to be understood and mitigated when you have machine learning initiatives.  One major risk that I *should* have mentioned explicitly is the risk of accuracy and trust in machine learning.  While I tend to throw this […]
          Box acqui-hires team from machine learning startup Butter.ai      Cache   Translate Page   Web Page Cache   
Box said the deal will allow the company to bring more intelligent search features into its platform.
          Google infuses machine learning into suite of ad tools, takes aim at Amazon      Cache   Translate Page   Web Page Cache   
Google is making it easier and more effective for businesses implement machine learning technology into marketing campaigns, and drive physical store visits as a result.
          Fraud Detection: Applying Behavioral Analytics      Cache   Translate Page   Web Page Cache   

Hand holding analytics

This is the second in my series on five keys to using AI and machine learning in fraud detection. Key 2 is behavioral analytics.

Behavioral analytics use machine learning to understand and anticipate behaviors at a granular level across each aspect of a transaction. The information is tracked in profiles that represent the behaviors of each individual, merchant, account and device. These profiles are updated with each transaction, in real time, in order to compute analytic characteristics that provide informed predictions of future behavior.

Profiles contain details of monetary and non-monetary transactions. Non-monetary may include a change of address, a request for a duplicate card or a recent password reset. Monetary transaction details support the development of patterns that may represent an individual’s typical spend velocity, the hours and days when someone tends to transact, and the time period between geographically disperse payment locations, to name a few examples. Profiles are very powerful as they supply an up- to-date view of activity used to avoid transaction abandonment caused by frustrating false positives.

A robust enterprise fraud solution combines a range of analytic models and profiles, which contain the details necessary to understand evolving transaction patterns in real time. A good example of this occurs in our FICO Falcon Fraud Manager, with its Cognitive Fraud Analytics.

Given the sophistication and speed of organized fraud rings, behavioral profiles must be updated with each transaction. This is a key component of helping financial institutions anticipate individual behaviors and execute fraud detection strategies, at scale, which distinguish both legitimate and illicit behavior changes. A sample of specific profile categories that are critical for effective fraud detection includes:

Chart with seven types of behavioral analytics

 

Key 3 is distinguishing specialized from generic behavior analytics. Watch for that post, and follow me on Twitter @FraudBird.

For more information:

The post Fraud Detection: Applying Behavioral Analytics appeared first on FICO.


          Ingénieur Analyse de Données et Logiciels - Intelligence Manufacturière - Data Analytics and Software Engineer – Manufacturing Intelligence - Alcoa Corp. - Deschambault, QC      Cache   Translate Page   Web Page Cache   
IoT, Connected Worker, Machine Learning, Cloud, Robotics, Augmented Reality. Ce poste peut être basé à l'une ou l'autre des Alumineries d'Alcoa dans le monde/...
From Alcoa Corp. - Fri, 29 Jun 2018 03:08:28 GMT - View all Deschambault, QC jobs
          Ingénieur Analyse de Données et Logiciels - Intelligence Manufacturière - Data Analytics and Software Engineer – Manufacturing Intelligence - Alcoa Corporation - Deschambault, QC      Cache   Translate Page   Web Page Cache   
IoT, Connected Worker, Machine Learning, Cloud, Robotics, Augmented Reality. Description du poste....
From Alcoa Corporation - Thu, 28 Jun 2018 15:45:09 GMT - View all Deschambault, QC jobs
          Research Scientist - Varian Medical Systems - Regina, SK      Cache   Translate Page   Web Page Cache   
Build and optimize machine learning models for the automation of treatment planning for radiation therapy. When you join Varian, you’re joining an organization...
From Varian Medical Systems - Tue, 05 Jun 2018 18:08:57 GMT - View all Regina, SK jobs
          ACR Data Science Institute Co-Sponsoring NIH Workshop to Produce Research Roadmap for Artificial Intelligence in Medical Imaging      Cache   Translate Page   Web Page Cache   
The American College of Radiology Data Science InstituteTM (ACR DSI) is a co-sponsor for the National Institute of Biomedical Imaging and Bioengineering (NIBIB)'s Workshop on Artificial Intelligence (AI) in Medical Imaging. The two-day workshop aims to clarify the needs in foundational and translational research for machine learning in medical imaging.
          Former Google heavy-hitter now in charge of getting Apple back in the AI game - BGR      Cache   Translate Page   Web Page Cache   

BGR

Former Google heavy-hitter now in charge of getting Apple back in the AI game
BGR
It's become a bit of conventional wisdom that Apple lags its peers in tech when it comes to AI. That products like Siri may have been released early enough to give Apple what should have been a strong lead, but similar offerings from companies like ...
Apple Hands Siri Responsibilities to Executive Poached From GoogleWall Street Journal
Apple Updates Leadership Page to Include New AI Chief John GiannandreaMac Rumors
Apple's Siri, Machine Learning teams now under control of new hire John Giannandrea [u]AppleInsider
The Verge -Forbes -TechCrunch -Business Insider
all 19 news articles »

          QA Engineer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 08 Jun 2018 16:35:13 GMT - View all New York, NY jobs
          Data Scientist - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Tue, 05 Jun 2018 16:15:49 GMT - View all New York, NY jobs
          UI Engineer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Sun, 27 May 2018 20:27:03 GMT - View all New York, NY jobs
          AI Conversation Designer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Sat, 14 Apr 2018 06:15:32 GMT - View all New York, NY jobs
          Recruiting Sourcer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 23 Mar 2018 06:21:11 GMT - View all New York, NY jobs
          People Analytics - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 23 Mar 2018 06:21:08 GMT - View all New York, NY jobs
          Recruiter/Talent Acquisition - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 23 Mar 2018 06:20:53 GMT - View all New York, NY jobs
          Product Owner, Talent Community Platform - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 16 Mar 2018 04:28:45 GMT - View all New York, NY jobs
          Back End Engineer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Sun, 03 Jun 2018 06:21:49 GMT - View all New York, NY jobs
          3Novices:New Apple AI Unit To Be Led By Ex-Google Boss      Cache   Translate Page   Web Page Cache   
Apple has set up a new artificial intelligence (AI) and machine learning (ML) unit. Former Google ex
          HSBC pilots AI initiative enhancing its approach to managing financial crime risk      Cache   Translate Page   Web Page Cache   
HSBC is strengthening its approach to managing financial crime risk by piloting an artificial intelligence initiative which removes false leads when monitoring payment transactions, according to Josh Bottomley, global head of digital at the group. Digital experts work alongside compliance at HSBC, he said. "HSBC is already piloting AI to remove false leads when monitoring millions of global payments transactions, which has given our teams more time to look into activity that does need further investigation, strengthening our approach to managing financial crime risk," he told Thomson Reuters Regulatory Intelligence. In this way, new technology such as AI and machine learning presents opportunities for HSBC to innovate and become far more effective at detecting financial crime, he said. "As technology and the risks that we face change, we will have to ensure that we have new digital skills, alongside traditional compliance expertise, to keep pace with developments. We already operate
          Apple Updates Leadership Page to Include New AI Chief John Giannandrea      Cache   Translate Page   Web Page Cache   
Apple today updated its Apple Leadership page to include John Giannandrea, who now serves as Apple's Chief of Machine Learning and AI Strategy.

Apple hired Giannandrea back in April, stealing him away from Google where he ran the search and artificial intelligence unit.


Giannandrea is leading Apple's AI and machine learning teams, reporting directly to Apple CEO Tim Cook. He has taken over leadership of Siri, which was previously overseen by software engineering chief Craig Federighi.

Apple told TechCrunch that it is combining its Core ML and Siri teams under Giannandrea. The structure of the two teams will remain intact, but both will now answer to Giannandrea.

Under his leadership, Apple will continue to build its AI/ML teams, says TechCrunch, focusing on general computation in the cloud alongside data-sensitive on-device computations.

Giannandrea spent eight years at Google before joining Apple, and before that, he founded Tellme Networks and Metaweb Technologies.

Apple's hiring of Giannandrea in April came amid ongoing criticism of Siri, which many have claimed has serious shortcomings in comparison to AI offerings from companies like Microsoft, Amazon, and Google due to Apple's focus on privacy.

Subscribe to the MacRumors YouTube channel for more videos.

In 2018, Apple is improving Siri through a new Siri Shortcuts feature that's coming in iOS 12, which is designed to let users create multi-step tasks using both first and third-party apps that can be activated through Siri.


Discuss this article in our forums


          Apple groups Siri and Machine Learning teams, ex-Google hire Giannandrea named Chief of ML and AI      Cache   Translate Page   Web Page Cache   

As Apple hired away Google’s chief of search and AI this past spring, Tim Cook noted that he would be heading up the company’s AI and machine learning strategy. Now, we’re learning more about how some teams are being restructured in a way that could bring future improvements to Siri and more.

more…


          Inventus Capital makes first close of its third fund at Rs 200 cr      Cache   Translate Page   Web Page Cache   
The early-stage venture capital firm Inventus Capital is scouting for deals in machine learning and AI in healthcare space.
          Industrial Internet of Things (IIoT) Market is anticipated to expand at a CAGR of 24.3% to reach US$ 991,562.0 Mn by 2026      Cache   Translate Page   Web Page Cache   
Industrial Internet of Things (IIoT) Market is anticipated to expand at a CAGR of 24.3% to reach US$ 991,562.0 Mn by 2026 Deployment of Internet of Things (IoT) in industries to modernize manufacturing processes is referred to as Industrial Internet of Things (IIoT). IIoT incorporates machine learning, Big Data technology, and machine-to-machine (M2M) communication, adopting the sensor data and automation technologies that

          Economist - Forecasting - Amazon.com - Seattle, WA      Cache   Translate Page   Web Page Cache   
Experience with machine learning applications. We are breaking fresh ground, pioneering in a program that is crucial for future Amazon growth, and our business...
From Amazon.com - Wed, 27 Jun 2018 07:21:23 GMT - View all Seattle, WA jobs
          VP, Digital Content Programs - Elsevier - Philadelphia, PA      Cache   Translate Page   Web Page Cache   
These could include innovation leveraging machine learning and artificial intelligence technologies. To ensure the needs of the business are understood and...
From RELX Group - Mon, 02 Apr 2018 20:08:16 GMT - View all Philadelphia, PA jobs
          The Google superstar Apple poached is now in charge of Siri (AAPL)      Cache   Translate Page   Web Page Cache   

John Giannandrea

  • Apple announced that it will combine its machine learning, artificial intelligence, and Siri groups.
  • They will report to John Giannandrea, who Apple poached from Google earlier this year. 

Apple announced on Tuesday that it combining many of its machine learning-focused teams under John Giannandrea, a Google veteran that the iPhone maker poached earlier this year.

Apple is moving its existing Siri and "Core ML" groups under him, a spokesperson confirmed to Business Insider. Giannandrea will lead a new "AI/ML" team at Apple. 

According to a bio added to Apple's leadership page on Tuesday, he reports to CEO Tim Cook and his title is "Chief of Machine Learning and AI Strategy." He is one of 16 executives who report directly to Cook. 

From his bio: 

"Prior to Apple, John spent 8 years at Google where he led the Machine Intelligence, Research, and Search teams. Before this he co-founded two technology companies, Tellme Networks and Metaweb Technologies. Earlier in his career John was a Senior Engineer at General Magic."

When Giannandrea unexpectedly stepped down at Google to join Apple, it was a big deal. He was the chief of search and artificial intelligence at Google during a period where the search giant embraced the technologies.

The New York Times said he was "perhaps the most eligible tech executive on the market" during the brief period before he announced he planned to work for Apple. 

Apple has another high-profile machine learning expert on staff, Carnegie Mellon professor Russ Salakhutdinov. 

Join the conversation about this story »

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          (Senior) Product Specialist - SAP Machine Learning for Sales and Service - SAP - Walldorf      Cache   Translate Page   Web Page Cache   
SAP's vision for Machine Learning is to focus on solving real business problems that will have huge business impact....
Gefunden bei SAP - Wed, 04 Jul 2018 11:34:10 GMT - Zeige alle Walldorf Jobs
          Senior Developer / Development Architect for Cloud projects for SAP Innovative Business Solutio - SAP - Walldorf      Cache   Translate Page   Web Page Cache   
We make innovation real by using the latest technologies around the Internet of Things, blockchain, artificial intelligence / machine learning, and big data and...
Gefunden bei SAP - Thu, 28 Jun 2018 11:35:17 GMT - Zeige alle Walldorf Jobs
          Technical Program Manager: OneVet - Microsoft - Redmond, WA      Cache   Translate Page   Web Page Cache   
You will work with experts across domains that include business process automation, cloud architecture, machine learning, natural language processing, computer...
From Microsoft - Tue, 20 Mar 2018 16:59:45 GMT - View all Redmond, WA jobs
          Product Manager, Data - PitchBook Data, Inc. - Seattle, WA      Cache   Translate Page   Web Page Cache   
Familiarity with machine learning and natural language processing techniques. Play a pivotal role and collaborate with key stakeholders to understand and ensure...
From PitchBook Data, Inc. - Tue, 08 May 2018 02:41:03 GMT - View all Seattle, WA jobs
          Senior Business Intelligence Developer - Cherwell Software - Seattle, WA      Cache   Translate Page   Web Page Cache   
Exploring machine learning or AI solutions. Maintaining relationships with internal stakeholders and customers....
From Cherwell Software - Fri, 25 May 2018 16:30:53 GMT - View all Seattle, WA jobs
          Front-End Software Engineer (Data Science Team) - Outreach - Seattle, WA      Cache   Translate Page   Web Page Cache   
Deliver innovative ways to visualize insights data analysis and Machine Learning uncover for our users. You will help deliver innovative ways to visualize...
From Outreach - Wed, 23 May 2018 22:31:06 GMT - View all Seattle, WA jobs
          Data Scientist - Experimentation and Causal Inference - Outreach - Seattle, WA      Cache   Translate Page   Web Page Cache   
Developing machine learning models and extracting insights and actions. You understand the entire lifecycle of machine learning product development, from...
From Outreach - Wed, 23 May 2018 22:31:03 GMT - View all Seattle, WA jobs
          New Apple AI Unit To Be Led By Ex-Google Boss      Cache   Translate Page   Web Page Cache   
Apple has set up a new artificial intelligence (AI) and machine learning (ML) unit. Former Google executive John Giannandrea has been picked to lead it.
          5 Artificial Intelligence Business Lessons From The Masters      Cache   Translate Page   Web Page Cache   
Artificial Intelligence for most businesses will start as an evolution of big data and analytics offerings. New techniques, such as transfer learning, will help companies bootstrap machine learning efforts in areas such as image recognition.
          Apple consolidates machine learning and Siri teams      Cache   Translate Page   Web Page Cache   
Apple is consolidating its Core ML and Siri teams under a new artificial intelligence and machine learning division headed by John...
          The Google superstar Apple poached is now in charge of Siri      Cache   Translate Page   Web Page Cache   
Apple announced that it will combine its machine learning, artificial intelligence, and Siri groups. They will report to John Giannandrea,...
          Apple groups Siri and Machine Learning teams, ex-Google hire Giannandrea named Chief of ML and AI      Cache   Translate Page   Web Page Cache   
As Apple hired away Google's chief of search and AI this past spring, Tim Cook noted that he would be heading up the company's AI and...
          Former Google AI chief will lead Apple’s new machine learning team      Cache   Translate Page   Web Page Cache   
Back in April, Google's former AI and search chief John Giannandrea left the company to join Apple for an undisclosed role. Today, the latter company announced he will head a new team combining the Core ML and Siri groups.

          Ingénieur en apprentissage automatique - Groom & Associates - Montréal, QC      Cache   Translate Page   Web Page Cache   
Machine Learning/AI Engineer An international company is looking for Machine Learning/AI Engineers to join their new Montreal office! Title: Machine Learning...
From Groom & Associates - Thu, 07 Jun 2018 17:10:46 GMT - View all Montréal, QC jobs
          Machine Learning/AI Engineer - Groom & Associates - Montréal, QC      Cache   Translate Page   Web Page Cache   
Machine Learning/AI Engineer An international company is looking for Machine Learning/AI Engineers to join their new Montreal office! Title: Machine Learning...
From Groom & Associates - Thu, 07 Jun 2018 14:58:16 GMT - View all Montréal, QC jobs
          A brain-based account of "basic-level" concepts.      Cache   Translate Page   Web Page Cache   
Related Articles

A brain-based account of "basic-level" concepts.

Neuroimage. 2017 Nov 01;161:196-205

Authors: Bauer AJ, Just MA

Abstract
This study provides a brain-based account of how object concepts at an intermediate (basic) level of specificity are represented, offering an enriched view of what it means for a concept to be a basic-level concept, a research topic pioneered by Rosch and others (Rosch et al., 1976). Applying machine learning techniques to fMRI data, it was possible to determine the semantic content encoded in the neural representations of object concepts at basic and subordinate levels of abstraction. The representation of basic-level concepts (e.g. bird) was spatially broad, encompassing sensorimotor brain areas that encode concrete object properties, and also language and heteromodal integrative areas that encode abstract semantic content. The representation of subordinate-level concepts (robin) was less widely distributed, concentrated in perceptual areas that underlie concrete content. Furthermore, basic-level concepts were representative of their subordinates in that they were neurally similar to their typical but not atypical subordinates (bird was neurally similar to robin but not woodpecker). The findings provide a brain-based account of the advantages that basic-level concepts enjoy in everyday life over subordinate-level concepts: the basic level is a broad topographical representation that encompasses both concrete and abstract semantic content, reflecting the multifaceted yet intuitive meaning of basic-level concepts.

PMID: 28826947 [PubMed - indexed for MEDLINE]


          Senior Data & Applied Scientist - Microsoft - Redmond, WA      Cache   Translate Page   Web Page Cache   
Experience developing and applying statistical modeling, machine learning models or data mining algorithms to solve real world problems....
From Microsoft - Wed, 25 Apr 2018 07:13:50 GMT - View all Redmond, WA jobs
          Director, Data Scientist - KPMG - Seattle, WA      Cache   Translate Page   Web Page Cache   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval....
From KPMG LLP - Fri, 01 Jun 2018 08:19:05 GMT - View all Seattle, WA jobs
          Director, Financial Services - Data Scientist - KPMG - Seattle, WA      Cache   Translate Page   Web Page Cache   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval....
From KPMG LLP - Thu, 17 May 2018 08:18:36 GMT - View all Seattle, WA jobs
          Database Administrator - Radiant Solutions - Springfield, VA      Cache   Translate Page   Web Page Cache   
Machine learning, data mining, and knowledge discovery. Work is non-routine and very complex, involving the application of advanced technical and business...
From Radiant Solutions - Wed, 04 Jul 2018 01:36:29 GMT - View all Springfield, VA jobs
          Director, Data Scientist - KPMG - New York, NY      Cache   Translate Page   Web Page Cache   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval....
From KPMG LLP - Fri, 01 Jun 2018 08:19:05 GMT - View all New York, NY jobs
          Director, Financial Services - Data Scientist - KPMG - New York, NY      Cache   Translate Page   Web Page Cache   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval....
From KPMG LLP - Thu, 17 May 2018 08:18:34 GMT - View all New York, NY jobs
          NVIDIA Co-Develops New A.I. Method To Remove Noise In Photos      Cache   Translate Page   Web Page Cache   

NVIDIA has announced a new machine learning method for teaching A.I. to remove smooth out noise in imagery, co-developed with Aalto University and MIT. However, unlike similar achievements using the technology, the new approach doesn’t require the A.I. to observe clean photographs. Instead, it can be taught to infer what a given image should look like […]

The post NVIDIA Co-Develops New A.I. Method To Remove Noise In Photos appeared first on AndroidHeadlines.com |.


          Senior Machine Learning Engineer, AI Personalization - Zillow Group - Seattle, WA      Cache   Translate Page   Web Page Cache   
Personalization is a critical part of making Zillow the largest, most-trusted, and vibrant home-related market in the world....
From Zillow Group - Tue, 10 Jul 2018 01:07:37 GMT - View all Seattle, WA jobs
          Data Science Analyst - Strategic Data Solutions - Apple - Austin, TX      Cache   Translate Page   Web Page Cache   
We apply data science and machine learning to drive strategic impact across multiple lines of business at Apple....
From Apple - Fri, 06 Jul 2018 13:47:35 GMT - View all Austin, TX jobs
          Sr Software Engineer - Applied Machine Learning - Apple - Austin, TX      Cache   Translate Page   Web Page Cache   
We work on many high-impact projects that serve various Apple lines of business. Understanding of machine learning, statistics....
From Apple - Fri, 15 Jun 2018 01:48:26 GMT - View all Austin, TX jobs
          Director, Customer Service Product and Tools - Kabam - Austin, TX      Cache   Translate Page   Web Page Cache   
Enthusiastic about the latest mobile trends and emerging technologies (IE Machine Learning, AI). Providing leadership and supporting for the technology...
From Kabam - Thu, 24 May 2018 02:31:26 GMT - View all Austin, TX jobs
          New Apple AI Unit To Be Led By Ex-Google Boss      Cache   Translate Page   Web Page Cache   
Apple has set up a new artificial intelligence (AI) and machine learning (ML) unit. Former Google ex
          Apple Hands Siri Responsibilities to Executive Poached From Google - Wall Street Journal      Cache   Translate Page   Web Page Cache   

Wall Street Journal

Apple Hands Siri Responsibilities to Executive Poached From Google
Wall Street Journal
Apple Inc. is handing oversight of its Siri team to new artificial-intelligence chief John Giannandrea three months after hiring him from rival Google, shifting responsibility for the voice-assistant technology to its third leader in the past year ...
Apple Updates Leadership Page to Include New AI Chief John GiannandreaMac Rumors
Apple's Siri, Machine Learning teams now under control of new hire John Giannandrea [u]AppleInsider
Apple's new AI chief now oversees Siri, Core ML, and machine learning teamsThe Verge
BGR -TechCrunch -Forbes -Business Insider
all 21 news articles »

          One Stop Systems Showcases Composable Infrastructure for GPU Workloads at ISC 2018      Cache   Translate Page   Web Page Cache   

In this video from ISC 2018, Jaan Mannik from One Stop Systems describes the company's HPC systems and new composable infrastructure solutions. OneStop also showcased a wide array of its high-density NVIDIA GPU-based appliances, as well as showcase a live remote connection to one of its machine learning and HPC platforms. "OSS leads the market in external systems that increase a server's performance in HPC applications, reducing cost and impact on data center infrastructure. These technology-hungry applications include AI (artificial intelligence), deep learning, seismic exploration, financial modeling, media and entertainment, security and defense."

The post One Stop Systems Showcases Composable Infrastructure for GPU Workloads at ISC 2018 appeared first on insideHPC.


          Verne Global Steps up to G-10 Framework for Scientific Computing in the UK      Cache   Translate Page   Web Page Cache   

Today HPC Cloud provider Verne Global announced that it has been approved by the Crown Commercial Service as a UK government supplier under the G-Cloud 10 (G10) framework. "From advances in AI and machine learning right through to breakthroughs in engineering, genetics and life sciences, HPC is critical to driving innovation and gathering intelligence,” said Spencer Lamb, Director of Research, at Verne Global. “The G-Cloud 10 certification of our hpcDIRECT platform provides the UK’s world-class science, technology, weather and medical research institutions with a technically excellent, highly scalable and environmentally sound alternative to running their applications in-house.”

The post Verne Global Steps up to G-10 Framework for Scientific Computing in the UK appeared first on insideHPC.


          A Credibility Analysis System for Assessing Information on Twitter      Cache   Translate Page   Web Page Cache   
Information credibility on Twitter has been a topic of interest among researchers in the fields of both computer and social sciences, primarily because of the recent growth of this platform as a tool for information dissemination. Twitter has made it increasingly possible to offer near-real-time transfer of information in a very cost-effective manner. It is now being used as a source of news among a wide array of users around the globe. The beauty of this platform is that it delivers timely content in a tailored manner that makes it possible for users to obtain news regarding their topics of interest. Consequently, the development of techniques that can verify information obtained from Twitter has become a challenging and necessary task. In this paper, we propose a new credibility analysis system for assessing information credibility on Twitter to prevent the proliferation of fake or malicious information. The proposed system consists of four integrated components: a reputation-based component, a credibility classifier engine, a user experience component, and a feature-ranking algorithm. The components operate together in an algorithmic form to analyze and assess the credibility of Twitter tweets and users. We tested the performance of our system on two different datasets from 489,330 unique Twitter accounts. We applied 10-fold cross-validation over four machine learning algorithms. The results reveal that a significant balance between recall and precision was achieved for the tested dataset.
          Data Science Analyst - Strategic Data Solutions - Apple - Austin, TX      Cache   Translate Page   Web Page Cache   
We apply data science and machine learning to drive strategic impact across multiple lines of business at Apple....
From Apple - Fri, 06 Jul 2018 13:47:35 GMT - View all Austin, TX jobs
          Sr Software Engineer - Applied Machine Learning - Apple - Austin, TX      Cache   Translate Page   Web Page Cache   
We work on many high-impact projects that serve various Apple lines of business. Understanding of machine learning, statistics....
From Apple - Fri, 15 Jun 2018 01:48:26 GMT - View all Austin, TX jobs
          Director, Customer Service Product and Tools - Kabam - Austin, TX      Cache   Translate Page   Web Page Cache   
Enthusiastic about the latest mobile trends and emerging technologies (IE Machine Learning, AI). Providing leadership and supporting for the technology...
From Kabam - Thu, 24 May 2018 02:31:26 GMT - View all Austin, TX jobs
          Sr Software Engineer ( Big Data, NoSQL, distributed systems ) - Stride Search - Los Altos, CA      Cache   Translate Page   Web Page Cache   
Experience with text search platforms, machine learning platforms. Mastery over Linux system internals, ability to troubleshoot performance problems using tools...
From Stride Search - Tue, 03 Jul 2018 06:48:29 GMT - View all Los Altos, CA jobs
          Apple combines machine learning and Siri teams, snags former Google AI chief John Giannandrea …      Cache   Translate Page   Web Page Cache   
Today, the company decided to merge their artificial intelligence, machine learning, and Siri divisions under one banner, and one leader: new hire ...
          Apple combines machine learning and Siri teams, snags former Google AI chief John Giannandrea …      Cache   Translate Page   Web Page Cache   
Today, the company decided to merge their artificial intelligence, machine learning, and Siri divisions under one banner, and one leader: new hire ...
          Apple confirms it’s combining machine learning, artificial intelligence, and Siri teams under John …      Cache   Translate Page   Web Page Cache   
Apple confirms it's combining machine learning, artificial intelligence, and Siri teams under John Giannandrea, who was hired from Google earlier this ...
          Apple confirms it’s combining machine learning, artificial intelligence, and Siri teams under John …      Cache   Translate Page   Web Page Cache   
Apple confirms it's combining machine learning, artificial intelligence, and Siri teams under John Giannandrea, who was hired from Google earlier this ...
          Google Applies More Machine Learning To Increase The Reach Of Ads Across Its Properties      Cache   Translate Page   Web Page Cache   
As Google continues to develop its technology, “machine learning” has become one of its favorite talking points. On Tuesday, the tech giant put that ...
          Google Applies More Machine Learning To Increase The Reach Of Ads Across Its Properties      Cache   Translate Page   Web Page Cache   
As Google continues to develop its technology, “machine learning” has become one of its favorite talking points. On Tuesday, the tech giant put that ...
          Nanotronics Unveils New Products Driven by Advances in Artificial Intelligence and Machine …      Cache   Translate Page   Web Page Cache   
Combining optical microscopy, machine learning, computational super-resolution, artificial intelligence, and robotics, Nanotronics is bringing the ...
          Nanotronics Unveils New Products Driven by Advances in Artificial Intelligence and Machine …      Cache   Translate Page   Web Page Cache   
Combining optical microscopy, machine learning, computational super-resolution, artificial intelligence, and robotics, Nanotronics is bringing the ...
          Google introduces machine learning ad tools and brands are hot for them      Cache   Translate Page   Web Page Cache   
In the wake of consumer data scandals like Cambridge Analytica, heightened scrutiny for targeted advertising practices, and marketers' concerns that ...
          Google introduces machine learning ad tools and brands are hot for them      Cache   Translate Page   Web Page Cache   
In the wake of consumer data scandals like Cambridge Analytica, heightened scrutiny for targeted advertising practices, and marketers' concerns that ...
          Google’s Ex-AI Chief is creating a new AI/Machine Learning Team at Apple that brings its Core ML …      Cache   Translate Page   Web Page Cache   
Apple confirmed this morning that the combined Artificial Intelligence and Machine Learning team, which houses Siri, will be led by the recent hire, ...
          Google’s Ex-AI Chief is creating a new AI/Machine Learning Team at Apple that brings its Core ML …      Cache   Translate Page   Web Page Cache   
Apple confirmed this morning that the combined Artificial Intelligence and Machine Learning team, which houses Siri, will be led by the recent hire, ...
          Former Google AI chief will lead Apple’s new machine learning team      Cache   Translate Page   Web Page Cache   
It's not a leap for Giannandrea, who led Google's Machine Intelligence, Research and Search teams over an eight-year tenure at the company.
          Former Google AI chief will lead Apple’s new machine learning team      Cache   Translate Page   Web Page Cache   
It's not a leap for Giannandrea, who led Google's Machine Intelligence, Research and Search teams over an eight-year tenure at the company.
          Apple Combines Siri and Machine Learning Teams Under John Giannandrea      Cache   Translate Page   Web Page Cache   
Apple has combined its Siri and Machine Learning teams under John Giannandrea, Google's former Chief of Search and AI, reports TechCrunch.
          John Giannandrea to Head Apple’s New AI and Machine Learning Team      Cache   Translate Page   Web Page Cache   
Apple today announced that it has merged its Core ML and Siri teams.
          Unsupervised machine learning and smart data compression help AI deal with big data      Cache   Translate Page   Web Page Cache   

Data scientists and startups are enabling machine learning to detect any potential data fraud before it takes place and building fast data storage engine The article Unsupervised machine learning and smart data compression help AI deal with big data by Runhua Zhao originally appeared on TechNode, the leading English authority on technology in China. As […]

The post Unsupervised machine learning and smart data compression help AI deal with big data appeared first on e27.


          Solution Architect - Data & Analytics - Neudesic LLC - Seattle, WA      Cache   Translate Page   Web Page Cache   
Machine Learning Solutions:. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in...
From Neudesic LLC - Mon, 02 Jul 2018 10:04:49 GMT - View all Seattle, WA jobs
          Designated Support Engineer - 1st Shift - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Thu, 14 Jun 2018 20:31:57 GMT - View all Lehi, UT jobs
          Pure Support Escalation Engineer - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Fri, 08 Jun 2018 18:26:33 GMT - View all Lehi, UT jobs
          Technical Support Engineer II/III - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Fri, 08 Jun 2018 06:19:02 GMT - View all Lehi, UT jobs
          Sr. Manager Business Critical Support - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Mon, 07 May 2018 18:40:34 GMT - View all Lehi, UT jobs
          Senior Technical Writer - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Tue, 01 May 2018 20:34:01 GMT - View all Lehi, UT jobs
          Technical Support Engineer II - NAS/ Storage - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Mon, 02 Apr 2018 18:29:48 GMT - View all Lehi, UT jobs
          Sr. BI Engineer - Republic Finance - Plano, TX      Cache   Translate Page   Web Page Cache   
Continuously explore and recommend new BI technology, including those powered by machine learning, A.I., and natural language processing, to improve the value...
From Republic Finance - Wed, 25 Apr 2018 16:14:02 GMT - View all Plano, TX jobs
          National Partner Technical Manager - Pure Storage - Dallas, TX      Cache   Translate Page   Web Page Cache   
Be a Pure Storage technical expert and in areas of Storage, Artificial Intelligence, Big Data, SDN, SaaS solutions, Networking, Dev-ops, Machine Learning,...
From Pure Storage - Fri, 11 May 2018 22:35:36 GMT - View all Dallas, TX jobs
          Solution Architect - Data & Analytics - Neudesic LLC - New York, NY      Cache   Translate Page   Web Page Cache   
Machine Learning Solutions:. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in...
From Neudesic LLC - Sat, 16 Jun 2018 09:58:39 GMT - View all New York, NY jobs
          Regional Marketing Manager- East - Pure Storage - New York, NY      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Fri, 04 May 2018 16:34:39 GMT - View all New York, NY jobs
          Research Scientist, Quantum Computing Applications - LOCKHEED MARTIN CORPORATION - Louisville, CO      Cache   Translate Page   Web Page Cache   
Experience in design and development of algorithms and applications for machine learning using quantum and/or classical computing....
From Lockheed Martin Corporation - Mon, 02 Jul 2018 04:09:30 GMT - View all Louisville, CO jobs
          Public Relations Director - EagleView Technologies - Bellevue, WA      Cache   Translate Page   Web Page Cache   
Leveraging 17 years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is...
From Indeed - Thu, 28 Jun 2018 23:26:32 GMT - View all Bellevue, WA jobs
          Cloud Engineer – High Performance Computing Specialist - EagleView Technologies - Bellevue, WA      Cache   Translate Page   Web Page Cache   
Leveraging 17 years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is...
From Indeed - Thu, 28 Jun 2018 22:33:10 GMT - View all Bellevue, WA jobs
          Engineer - Site Reliability - EagleView Technologies - Bellevue, WA      Cache   Translate Page   Web Page Cache   
Leveraging 17 years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is...
From Indeed - Thu, 28 Jun 2018 17:47:57 GMT - View all Bellevue, WA jobs
          Financial Analyst - EagleView Technologies - Bellevue, WA      Cache   Translate Page   Web Page Cache   
To join our team. Leveraging 17 years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and...
From Indeed - Thu, 21 Jun 2018 22:25:19 GMT - View all Bellevue, WA jobs
          In case you missed it: June 2018 roundup      Cache   Translate Page   Web Page Cache   

In case you missed them, here are some articles from June of particular interest to R users.

An animated visualization of global migration, created in R by Guy Abel.

My take on the question, Should you learn R or Python for data science?

The BBC and Financial Times use R — without post-processing — for publication graphics.

"Handling Strings in R", a free e-book by Gaston Sanchez, has been updated.

The AI, Machine Learning and Data Science roundup for June 2018.

The PYPL Popularity of Languages Index ranks R as the 7th most popular programming language.

The "lime" package for R provides tools for interpreting machine learning models.

An R vignette by Paige Bailey on detecting unconscious bias in predictive models.

Microsoft R Open 3.5.0 has been released (with a subsequent fix for Debian systems).

Slides from the webinar, What's New in Azure for Machine Learning and AI.

And some general interest stories (not necessarily related to R):

As always, thanks for the comments and please send any suggestions to me at davidsmi@microsoft.com. Don't forget you can follow the blog using an RSS reader, via email using blogtrottr, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.


          (USA-CA-Santa Monica) Backend Software Engineer (Santa Monica, CA)      Cache   Translate Page   Web Page Cache   
**We're looking for a** # Backend Software Engineer \(Santa Monica, CA\) We were cloud before cloud was cool\! Now we are working on tomorrow’s problems\. **What sets us apart?** + We have been working in Cloud computing since we were founded in 1999\. Now we’re working on exciting projects in PaaS, Big Data and Machine Learning to help employees at some of the world’s largest companies realize their potential\. + We are a technology company that understands the importance of staying up\-to\-date and at the forefront of new and innovative technologies\. Global Scale?\! We have over 30 million users in 192 different countries\! Who even knew there were 192 different countries? + We make software that empowers people, and we think that is pretty cool\! So much so, that we live it every day\. Cornerstone offers monthly development days, along with countless training opportunities\. Top it off with real career growth possibilities, and you have yourself a company for the long term\! + Check out our\. Need a code break? Go play in our arcade, watch a movie in our theater, or even get a free massage in our dedicated massage room\! Or, grab some free food and rest on our outdoor patio \(Ocean view of course ☺\) + We also offer top of the line benefits\! How does Company stock, unlimited vacation, a 401k match and top of the line healthcare sound? Intrigued? Please read on\.\.\. **What you'll be doing:** + Working in an Agile environment with Product Managers and QA Engineers to continually enhance Cornerstone’s web applications by identifying opportunities for improvement, making recommendations and implementing optimizations + Developing \.NET Microservices as a part of our platform\-wide Microservice refactoring + We’re moving to AWS, so you’ll be playing an integral part of this major architectural initiative + Collaborating with a world class team of Engineers across the SDLC **Requirements:** Cornerstone simply looks for good Software Engineers who want to tackle challenging problems in an innovative and collaborative manner\. We pride ourselves on having an ego\-free environment\. We are a Microsoft shop on the backend, so you will be coding in C\#\.NET and using MS SQL, but we also work with cool open source technologies like ElasticSearch, RabbitMQ, and MongoDB\. We consider ourselves language agnostic problem\-solvers and do not discriminate if you haven’t worked with our exact tech stack\. Here’s what we’re focused on hiring for and will make you successful in our environment: + BS/MS in Computer Science or related Engineering field or equivalent job experience + 1\+ developing complex web applications + Experience developing Microservices, RESTful services, or other SOA development experience + SQL querying/development experience with relational databases such as Microsoft SQL Server\. Exposure to other non\-relational DBs is a plus\! + Exposure to public cloud providers like Amazon Web Services, Azure, Google Cloud, etc\. is a big plus but not required **Our Culture:** Our mission is to empower people, businesses and communities\. A culture created less by what we do and more by who we are\. When people are asked to describe the team, the answer is always the same: Smart, Cool, Dependable, and Visionary\. We are not a typical tech company \(even with our free massages, yoga studio, arcade, movie theatre, free breakfast and generous stock units\), because, well, our employees aren't your typical techies\.\.\. We're always on the lookout for new, curious and capable people who can help us achieve our goal\. So if you want to work for a friendly, global and innovative company, we'd love to meet you\! What are you waiting for? **What We Do:** Cornerstone OnDemand \(NASDAQ: CSOD\) helps organizations to recruit, train and manage their people\. We work with hundreds of the world’s largest companies—from Walgreens and Starwood Hotels & Resorts to Deutsche Post DHL and Xerox—and thousands of smaller ones to help them engage their workforces and empower their people\. Our software impacts every aspect of the employee experience, helping people to make their best work even better – which ultimately translates into greater business results\. Our software and services are in use by over 36 million people in 192 countries and in 43 languages\. Check us out on,,, and\! Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand\. All qualified applicants are given consideration regardless of race, religion, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws\. If you have a disability or special need that requires accommodation, please contact us at\. \#LI\-EF1 **Send to a Friend** _Please wait\.\.\._ Email this Job Ad to your friend\(s\) by adding their email address\(es\) along with your details to the field below: \*Separate each recipient email address with a comma\. **Recipient email address\(es\):** **Your First Name:** **Your Last Name:** Select which language the email should be sent in\. **Language:** Not sure which position to apply for?Cornerstone is proud to be an equal opportunity workplace and is an affirmative action employer\. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics\. If you have a disability or special need that requires accommodation, please contact us at careers@csod\.com\.
          (USA-OR-Beaverton) Expert Information Security Data Scientist      Cache   Translate Page   Web Page Cache   
Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game. Nike Technology designs, creates and implements the methods and tools needed to make the world’s largest sports brand run faster, smarter and more securely. Global Technology teams aggressively innovate the solutions needed to help employees navigate Nike's rapidly evolving landscape. From infrastructure to security and supply chain operations, Technology specialists drive growth through top-flight hardware, software and enterprise applications. Simply put, without Nike Technology, there are no Nike products. **Description** As a User and Entity Behavior Analytics (UEBA) Data Scientist, your role in Corporate Information Security (CIS) Cyber Threat Analytics (CTA) team will include leveraging your knowledge of data science, analytics, machine learning, data mining, and industry best practices to develop detection methods for anomalous user and entity behavior that constitutes a threat to Nike’s information security. Your responsibilities will include: + Collaborate with data scientists and stakeholders to explore opportunities to develop data driven solutions by developing and utilizing statistical modeling and machine learning algorithms + Translate ambiguous statements into structured problem statements and testable hypotheses + Analyze and profile available, reliable, and relevant data (internal and external) to uncover insights in support of scalable solutions + Clean, prepare and verify the integrity of data for analysis + Validate appropriate models to discover meaningful patterns and insights + Track model accuracy, ensuring model relevance and reliability + Create clear and structured deliverables to communicate meaningful insights and prescribe actionable data driven business solution recommendations + Build trust and drive business adoption by demystifying solution intricacies for stakeholders + Create clear, user-friendly documentation to support business usage of the solution + Collaborate with a team of data scientists, solutions delivery managers, engineers, and business stakeholders to take an opportunity or pain point from concept to scaled solution + Stay abreast of and apply industry and technology trends as well as emerging tools and techniques relevant to discipline + Participate in a continuous learning environment within the advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community **Qualifications** To make it clear, we're not looking for just anyone. We're looking for someone special, someone who had these experiences and clearly demonstrated these skills: + In-depth background in mathematics, statistics, or a related field + In-depth knowledge of applied data science + In-depth knowledge of machine learning algorithms and data science methods + In-depth data wrangling experience with structured and unstructured data + Experience with various programming and scripting languages + Experience with databases, processing, and storage frameworks + Experience with various hyperparameter tuning approaches + Strong knowledge of CRISP-DM and Agile data science framework + Strong knowledge of information security principles and practice. **Qualifications** To make it clear, we're not looking for just anyone. We're looking for someone special, someone who had these experiences and clearly demonstrated these skills: + In-depth background in mathematics, statistics, or a related field + In-depth knowledge of applied data science + In-depth knowledge of machine learning algorithms and data science methods + In-depth data wrangling experience with structured and unstructured data + Experience with various programming and scripting languages + Experience with databases, processing, and storage frameworks + Experience with various hyperparameter tuning approaches + Strong knowledge of CRISP-DM and Agile data science framework + Strong knowledge of information security principles and practice. NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. **Job ID:** 00398080 **Location:** United States-Oregon-Beaverton **Job Category:** Technology
          (USA-OR-Beaverton) Expert Information Security Data Scientist      Cache   Translate Page   Web Page Cache   
Become a Part of the NIKE, Inc. Team NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game. Nike Technology designs, creates and implements the methods and tools needed to make the world’s largest sports brand run faster, smarter and more securely. Global Technology teams aggressively innovate the solutions needed to help employees navigate Nike's rapidly evolving landscape. From infrastructure to security and supply chain operations, Technology specialists drive growth through top-flight hardware, software and enterprise applications. Simply put, without Nike Technology, there are no Nike products. **Description** As an Artificial Intelligence Reinforcement Learning Data Scientist, your role in Corporate Information Security (CIS) Cyber Threat Analytics (CTA) team is to improve Nike’s Cyber Defense by leveraging your knowledge of data science, semantic and cognitive reasoning, neural networks, data mining, and industry best practices to develop detection methods. Your responsibilities will include: + Collaborate with data scientists and stakeholders to explore opportunities to develop data-driven solutions by developing and utilizing statistical modeling and machine learning algorithms + Translate ambiguous statements into structured problem statements and testable hypotheses + Analyze and profile available, reliable, and relevant data (internal and external) to uncover insights in support of scalable solutions + Clean, prepare and verify the integrity of data for analysis + Validate appropriate models to discover meaningful patterns and insights + Track model accuracy, ensuring model relevance and reliability + Create clear and structured deliverables to communicate meaningful insights and prescribe actionable data driven business solution recommendations + Build trust and drive business adoption by demystifying solution intricacies for stakeholders + Create clear, user-friendly documentation to support business usage of the solution + Collaborate with a team of data scientists, solutions delivery managers, engineers, and business stakeholders to take an opportunity or pain point from concept to scaled solution + Stay abreast of and apply industry and technology trends as well as emerging tools and techniques relevant to discipline + Participate in a continuous learning environment within the advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community **Qualifications** To make it clear, we're not looking for just anyone. We're looking for someone special, someone who had these experiences and clearly demonstrated these skills: + In-depth background in mathematics, statistics, or a related field + In-depth knowledge of applied data science + In-depth knowledge of machine learning algorithms and data science methods + In-depth data wrangling experience with structured and unstructured data + Experience with various programming and scripting languages + Experience with databases, processing, and storage frameworks + Experience with various hyperparameter tuning approaches + Strong knowledge of CRISP-DM and Agile data science framework + Strong knowledge of information security principles and practice. **Qualifications** To make it clear, we're not looking for just anyone. We're looking for someone special, someone who had these experiences and clearly demonstrated these skills: + In-depth background in mathematics, statistics, or a related field + In-depth knowledge of applied data science + In-depth knowledge of machine learning algorithms and data science methods + In-depth data wrangling experience with structured and unstructured data + Experience with various programming and scripting languages + Experience with databases, processing, and storage frameworks + Experience with various hyperparameter tuning approaches + Strong knowledge of CRISP-DM and Agile data science framework + Strong knowledge of information security principles and practice. NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. **Job ID:** 00398081 **Location:** United States-Oregon-Beaverton **Job Category:** Technology
          Machine Learning with C#: An Introduction to ML.NET      Cache   Translate Page   Web Page Cache   

When you think of data science and machine learning two programming languages are going to instantly pop into your mind: Python and R. These two languages are great and I love working with them, but coming from a .NET and C# background myself it would be nice to see some love for data science in…

The post Machine Learning with C#: An Introduction to ML.NET appeared first on Wintellect.


          (USA-NY-New York) Business Analyst      Cache   Translate Page   Web Page Cache   
+ Build and maintain good relationships with key sponsors and technology + Capture business requirements and use cases (including screen designs) + Produce excellent detailed focused documentation + Drive requirements through user due diligence and sign off + Ability to understand and analyze business processes & workflows with the objective of providing detailed Business Process Flow diagrams and Logical Data Models + Partner with developers to ensure requirements are implemented as per specification + Establish test strategy and test cases as well as validation of test cases + Scrum master and run Agile development process; track tasks and issues in JIRA + Co-ordinate UAT with markets and down-stream teams + Ensure all risks and issues relating to scope and analysis managed appropriately + Ensure that all re-usable resources and knowledge are stored in the appropriate knowledge base for the benefit of others in the team. This will include items that are not necessarily linked to any single project. + Help troubleshoot issues including working with Level 1 + 2 support teams and business users + Strong Business Analyst experience + Technical background preferred + familiar with product management approach + HTML5/ JavaScript/ React – develop re-useable UI widget is good to have + Ensure UI/ UX wireframe compliance with the design is good to have + Experience in optimizing/profiling, multithreading, and tuning + Test driven development + Strong interpersonal and communication skills. + Strong organizational ability, time and project management skills to juggle many priorities Our Corporate & Investment Bank relies on innovators like you to build and maintain the technology that helps us safely service the world’s important corporations, governments and institutions. You’ll develop solutions for a bank entrusted with holding $18 trillion of assets and $393 billion in deposits. CIB provides strategic advice, raises capital, manages risk, and extends liquidity in markets spanning over 100 countries around the world. When you work at JPMorgan Chase & Co., you’re not just working at a global financial institution. You’re an integral part of one of the world’s biggest tech companies. In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B+ annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world. At JPMorgan Chase & Co. we value the unique skills of every employee, and we’re building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If you’re looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.
          (USA-TX-Houston) Full Stack Java Software Engineer - Markets      Cache   Translate Page   Web Page Cache   
As a member of our Software Engineering Group you will dive head-first into creating innovative solutions that advance businesses and careers. You’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. You’ll be tasked with keeping the team and other key stakeholders up to speed on the progress of what’s being developed. Coming in with an understanding of the importance of end-to-end software development-such as Agile frameworks-is key. And best of all, you’ll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world. The candidate will focus on the Corporate and Investment Bank’s web portal, J.P. Morgan Markets. J.P. Morgan Markets offers Research, Analytics, Trading, and Investor Services to institutional investors. This role requires a wide variety of strengths and capabilities, including: + Application architecture, Data architecture, and Infrastructure architecture + Develop business to business Internet applications. + Design, build, test, troubleshoot, and support web based applications. + Optimize performance of web applications. + Communicate with the full spectrum of global stakeholders and colleagues. + Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals + Proficiency in the following: Enterprise Java, Web Development, HTML, JavaScript, SQL, and Source Code Management Our Corporate & Investment Bank relies on innovators like you to build and maintain the technology that helps us safely service the world’s important corporations, governments and institutions. You’ll develop solutions for a bank entrusted with holding $18 trillion of assets and $393 billion in deposits. CIB provides strategic advice, raises capital, manages risk, and extends liquidity in markets spanning over 100 countries around the world. When you work at JPMorgan Chase & Co., you’re not just working at a global financial institution. You’re an integral part of one of the world’s biggest tech companies. In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B+ annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world. At JPMorgan Chase & Co. we value the unique skills of every employee, and we’re building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If you’re looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.
          Google Introduces Responsive Search Ads Which Adapt to Users’ Queries by @MattGSouthern      Cache   Translate Page   Web Page Cache   

Google is introducing a new ad product that uses machine learning to adapt to users’ queries.

The post Google Introduces Responsive Search Ads Which Adapt to Users’ Queries by @MattGSouthern appeared first on Search Engine Journal.


          BrainChip Names James Roe Director of North American Sales      Cache   Translate Page   Web Page Cache   
SAN FRANCISCO, July 10, 2018-- BrainChip Holdings Ltd., a leading developer of software and hardware accelerated solutions for advanced artificial intelligence and machine learning applications, today announced the appointment of James Roe as the Director of North American End User Sales. The market for video surveillance in law enforcement, homeland...
          Computer Vision/Machine Learning Expert - Best Barcode System Pvt Ltd - Sahibabad, Uttar Pradesh      Cache   Translate Page   Web Page Cache   
Understand problem statement and build product prototypes and solutions. 2+ years of experience in understanding and ability to implement algorithms in vision... ₹2,00,000 - ₹6,00,000 a year
From Indeed - Wed, 27 Jun 2018 01:39:54 GMT - View all Sahibabad, Uttar Pradesh jobs
          (Sr.) Product Manager - Machine Learning SaaS      Cache   Translate Page   Web Page Cache   
MA-Boston, My client is seeking an entrepreneurial, motivated, product leader to drive its efforts serving enterprise customers. Product Managers work across the company's expert-leading marketplace, as well as our emerging software business serving top companies, both internal and external. Client Details This Boston-based SaaS startup has redefined the way that companies utilize Machine Learning and Artifi
          Recherche : le machine learning pour débruiter des images sans données "propres"      Cache   Translate Page   Web Page Cache   
NVIDIA présente en vidéo le résultat d'un travail de recherche auquel l'entreprise a participé. L'objectif : utiliser le machine learning pour créer un système qui puisse apprendre à éliminer [...]
          CSIS RIST Relativity Project Coordinator - CSIS Lead Investigator - Citi - New Castle, DE      Cache   Translate Page   Web Page Cache   
Diversity is a key business imperative and a source of strength at Citi. Degree in Computer Science, Machine Learning, Information Retrieval or related field,...
From Citi - Fri, 06 Apr 2018 08:12:24 GMT - View all New Castle, DE jobs
          Machine Learning Researcher - PARC, a Xerox company - Palo Alto, CA      Cache   Translate Page   Web Page Cache   
PARC, a Xerox company, is in the Business of Breakthroughs®. We create new business options, accelerate time to market, augment internal capabilities, and...
From PARC, a Xerox company - Sat, 28 Apr 2018 09:57:12 GMT - View all Palo Alto, CA jobs
          Apple réunit ses équipes IA et machine learning sous la houlette de John Giannandrea      Cache   Translate Page   Web Page Cache   
La firme à la pomme place ses unités qui gèrent Core ML et Siri sous la supervision de John Giannandrea fraîchement arrivé en provenance de chez Google.
          Künstliche Intelligenz: Blockchain macht Machine Learning sicher      Cache   Translate Page   Web Page Cache   
Unternehmen wissen ihre Daten immer mehr zu schätzen. Leider stellen sie deswegen auch immer weniger Daten für Machine Learning bereit. Der Blockchain gelingt es jedoch mit ihrer Integrität und Fälschungssicherheit, den Schutz von Daten auf ein neues Niveau zu heben.
          Mindsphere Principal PreSales Solutions Consultant - West, US - Siemens AG - Seattle, WA      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:42:27 GMT - View all Seattle, WA jobs
          Mindsphere Principal PreSales Solutions Consultant - South Central, US - Siemens AG - Dallas, TX      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:43:00 GMT - View all Dallas, TX jobs
          Mindsphere Principal PreSales Solutions Consultant - Siemens - Austin, TX      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens - Tue, 03 Jul 2018 03:23:32 GMT - View all Austin, TX jobs
          Senior Manager, Machine Learning - Align Technology - Raleigh, NC      Cache   Translate Page   Web Page Cache   
Machine learning, business intelligence, statistical science). Experience in Machine Learning algorithms or statistical science....
From Align Technology - Sun, 17 Jun 2018 05:57:03 GMT - View all Raleigh, NC jobs
          Data Analytics Specialist - Align Technology - San Jose, CA      Cache   Translate Page   Web Page Cache   
Excellent understanding of machine learning techniques and algorithms. Articulate high-level business requirements into detailed product analysis plans....
From Align Technology - Thu, 28 Jun 2018 06:01:20 GMT - View all San Jose, CA jobs
          Production Data Being the Oil of the Future      Cache   Translate Page   Web Page Cache   

All about why it is so important to have a clear vision with regard to your objectives when integrating machines and using machine learning procedures.
          Ingénieur en apprentissage automatique - Groom & Associates - Montréal, QC      Cache   Translate Page   Web Page Cache   
Machine Learning/AI Engineer An international company is looking for Machine Learning/AI Engineers to join their new Montreal office! Title: Machine Learning...
From Groom & Associates - Thu, 07 Jun 2018 17:10:46 GMT - View all Montréal, QC jobs
          Machine Learning/AI Engineer - Groom & Associates - Montréal, QC      Cache   Translate Page   Web Page Cache   
Machine Learning/AI Engineer An international company is looking for Machine Learning/AI Engineers to join their new Montreal office! Title: Machine Learning...
From Groom & Associates - Thu, 07 Jun 2018 14:58:16 GMT - View all Montréal, QC jobs
          Drive stronger collaboration with Display & Video 360      Cache   Translate Page   Web Page Cache   

Two weeks ago, we announced that we’re unifying our DoubleClick advertiser products and the Google Analytics 360 Suite under one brand: Google Marketing Platform. We also introduced Display & Video 360 as a key part of Google Marketing Platform. Display & Video 360 is a single, integrated product that helps creative, data and media teams work together to execute end-to-end ad campaigns.

Today, we’re sharing more about Display & Video 360, including how it helps marketers collaborate across teams, gain transparency and control over their investments, and use the latest advances in machine learning and automation to get better results. Read on to learn more, or watch the live stream from our Google Marketing Live event happening later today in San Jose, CA.

About Display & Video 360

Display & Video 360 brings together features from DoubleClick Bid Manager, Campaign Manager, Studio, and Audience Center in a single product.

So what does that mean?

First, Bid Manager will soon become Display & Video 360. This will happen automatically—customers won’t have to take any action and campaigns will continue to run uninterrupted. Second, Display & Video 360 is organized around five integrated modules that work together to simplify the end-to-end campaign process: Campaigns, Audiences, Creatives, Inventory and Insights.

Display and Video 360 Modules

These new modules reflect the fact that Display & Video 360 offers more than just Bid Manager’s programmatic capabilities. It also includes the campaign management, cross-platform measurement, creative and audience capabilities that are currently part of DoubleClick Campaign Manager, Studio and Audience Center. (Don’t worry, these products aren’t going anywhere right away—we’ll gradually transition customers of these products to Display & Video 360 in the future as additional features become available.)

By bringing these solutions together, Display & Video 360 enables marketers to fully manage their reservation, programmatic and programmatic guaranteed campaigns across display, video, TV, audio and other channels, all in one place. And using a single product to manage advertising campaigns and workflows end-to-end offers significant advantages compared to a more piecemeal approach.

Collaboration across teams

We know that getting a successful ad campaign up and running requires media, creative, data and analytics teams to work closely together along the whole journey. In fact, recent data from Google’s Media Lab—the team that manages all of Google's advertising campaigns—shows a 1.5X improvement in campaign performance when creative strategies and design are aligned to media, compared to when creative is built in a silo.1 But today, the typical digital campaign workflow is complex and manual, involving handoffs across multiple people, organizations and products—which makes it really hard to collaborate.  

Display & Video 360 changes that. It helps teams share campaign data and insights at each step of the process, so they can work together to plan campaigns, design and manage creative, organize and create audience segments, find and transact inventory, then measure and optimize results.


"Running digital marketing for Major League Baseball is a unique opportunity because we cover all 30 MLB teams and a total of 2500 games each year. Display & Video 360 helps us to achieve the scale we need to meet this demand because it allows our creative, campaign management and analytics teams to collaborate really well. For example, our analytics team can share feedback on creative performance much faster than before, and then this feedback can easily be applied to many campaigns at once."

Barbara McHugh

SVP, Marketing, Major League Baseball



Transparency and control

With Display & Video 360 you can see precisely how your money is being spent and know exactly where your ads are running—across all of your campaigns. Understanding how your marketing is performing in real time gives you more control. You can quickly see what’s working and what’s not, and then make informed decisions to adjust your tactics and improve campaign performance.

Buying media through a single platform like Display & Video 360 also leads to better results—as measured in terms of both reach and efficiency. For example, Nielsen found that marketers who consolidated their traditional reservation deals with their programmatic guaranteed deals in a single buying platform increased their reach of unique consumers by an average of 11 percent—for the same investment in impressions.2 In another recent study, BCG found that programmatic guaranteed deals are 29 percent more efficient for agencies than traditional reservation deals measured in hours spent on deal set-up and management.3


“By consolidating all of our campaigns in Display & Video 360, we can easily control how many consumers we reach and how often we reach them. This means we don’t have to worry about wasted impressions or a bad consumer experience from people seeing our ads too many times. Instead, we can direct that investment to reach more of the people who are likely to fly with us.”

Justyna Valente

Digital Marketing Manager, TAP Portugal



Faster, smarter marketing

According to a recent study of global marketing organizations by Bain & Company, speed in decision making separated the leaders—the top 20 percent of respondents based on revenue and market share growth—from the laggards, who represent the bottom 20 percent. Marketing laggards are 1.7X more likely to be held back by slow decision making4, while marketing leaders are using technology to surface trends and patterns in near-real time so they can deliver more relevant marketing with speed to assist consumers at the right moment.

Display & Video 360 takes advantage of Google’s unique capabilities in machine learning to automate tasks like bidding and optimization, so you can respond to users’ needs faster. Built-in intelligence across the product automatically surfaces insights and recommendations—such as where to shift budget to improve campaign performance—so you can act quickly to achieve your goals.

Tune in to learn more

Display & Video 360 will begin rolling out to all Bid Manager customers in late July.  We’re excited to introduce this end-to-end advertising solution as part of Google Marketing Platform, and we’re eager to hear your feedback.


Please join me for the live streamed keynote at Google Marketing Live today at 9:00 a.m. PT / 12:00 p.m. ET or watch the recording after the event. I’ll be sharing more about Display & Video 360, including demos of some of the new features.


1. Based on Q4'17-Q1'18 internal Google data.

2. Based on a Google-commissioned Nielsen study, May-Dec. 2017.

3. Based on a Google-commissioned BCG report, “A Guaranteed Opportunity in Programmatic Advertising,” July-Sept. 2017.

4. Bain/Google Marketing Leaders Study, Nov. 2017.


          Putting machine learning into the hands of every advertiser      Cache   Translate Page   Web Page Cache   

The ways people get things done are constantly changing, from finding the closest coffee shop to organizing family photos. Earlier this year, we explored how machine learning is being used to improve our consumer products and help people get stuff done.

In just one hour, we’ll share how we're helping marketers unlock more opportunities for their businesses with our largest deployment of machine learning in ads. We’ll explore how this technology works in our products and why it’s key to delivering the helpful and frictionless experiences consumers expect from brands.

Join us live today at 9am PT (12pm ET).

Deliver more relevance with responsive search ads

Consumers today are more curious, more demanding, and they expect to get things done faster because of mobile. As a result, they expect your ads to be helpful and personalized. Doing this isn’t easy, especially at scale. That’s why we’re introducing responsive search ads. Responsive search ads combine your creativity with the power of Google’s machine learning to help you deliver relevant, valuable ads.

Simply provide up to 15 headlines and 4 description lines, and Google will do the rest. By testing different combinations, Google learns which ad creative performs best for any search query. So people searching for the same thing might see different ads based on context.

We know this kind of optimization works: on average, advertisers who use Google’s machine learning to test multiple creative see up to 15 percent more clicks.1

Responsive search ads will start rolling out to advertisers over the next several months.

Maximize relevance and performance on YouTube

People watch over 1 billion hours of video on YouTube every day. And increasingly, they’re tuning in for inspiration and information on purchases large and small. For example, nearly 1 in 2 car buyers say they turn to YouTube for information before their purchase.2 And nearly 1 in 2 millennials go there for food preparation tips before deciding what ingredients to buy.3 That means it’s critical your video ads show at the right moment to the right audience.

Machine learning helps us turn that attention into results on YouTube. In the past, we’ve helped you optimize campaigns for views and impressions. Later this year, we’re rolling out Maximize lift to help you reach people who are most likely to consider your brand after seeing a video ad. This new Smart Bidding strategy is also powered by machine learning. It automatically adjusts bids at auction time to maximize the impact your video ads have on brand perception throughout the consumer journey.

Maximize lift is available now as a beta and will roll out to advertisers globally later this year.

Drive more foot traffic with Local campaigns

Whether they start their research on YouTube or Google, people still make the majority of their purchases in physical stores. In fact, mobile searches for “near me” have grown over 3X in the past two years,4 and almost 80 percent of shoppers will go in store when there’s an item they want immediately.5 For many of you, that means driving foot traffic to your brick-and-mortar locations is critical—especially during key moments in the year, like in-store events or promotions.

Today we’re introducing Local campaigns: a new campaign type designed to drive store visits exclusively. Provide a few simple things—like your business locations and ad creative—and Google automatically optimizes your ads across properties to bring more customers into your store.

Show your business locations across Google properties and networks


Local campaigns will roll out to advertisers globally over the coming months.

Get the most from your Shopping campaigns

Earlier this year, we rolled out a new Shopping campaign type that optimizes performance based on your goals. These Smart Shopping campaigns help you hit your revenue goals without the need to manually manage and bid to individual products. In the coming months, we’re improving them to optimize across multiple business goals.

Beyond maximize conversion value, you’ll also be able to select store visits or new customers as goals. Machine learning factors in the likelihood that a click will result in any of these outcomes and helps adjust bids accordingly.

Machine learning is also used to optimize where your Shopping ads show—on Google.com, Image Search, YouTube and millions of sites and apps across the web—and which products are featured. It takes into account a wide range of signals, like seasonal demand and pricing. Brands like GittiGidiyor, an eBay company, are using Smart Shopping campaigns to simplify how they manage their ads and deliver better results. GittiGidiyor was able to increase return on ad spend by 28 percent and drive 4 percent more sales, while saving time managing campaigns.

We’re also adding support for leading e-commerce platforms to help simplify campaign management. In the coming weeks, you’ll be able to set up and manage Smart Shopping campaigns right from Shopify, in addition to Google Ads.

Tune in to see more!

This is an important moment for marketers and we’re excited to be on this journey with you. Tune in at 9am PT (12pm ET) today to see it all unfold at Google Marketing Live.

For the latest news, follow the new Google Ads blog. And check out g.co/adsannouncements for more information about product updates and announcements.


1. Internal Google data

2. Google / Kantar TNS, Auto CB Gearshift Study, US, 2017. n=312 new car buyers who watched online video

3. Google / Ipsos, US, November 2017

4. Internal Google data, U.S., July–Dec. 2015 vs. July–Dec. 2017

5. Google/Ipsos, U.S., “Shopping Tracker,” Online survey, n=3,613 online Americans 13+ who shopped in the past two days, Oct.–Dec. 2017


          vSphere 6.7: Suspend and Resume of GPU-attached…      Cache   Translate Page   Web Page Cache   

vSphere 6.7: Suspend and Resume of GPU-attached Virtual Machines

vSphere 6.7: Suspend and Resume of GPU-attached...

VMware vSphere is the Universal Application Platform of choice for deployment of all kinds of applications – from end-user virtual desktops to very large databases, machine learning systems and in-memory data management systems. vSphere 6.7 became generally available in April 2018. This article describes a set of use cases and a demonstration for a new feature The post vSphere 6.7: Suspend and Resume of GPU-attached Virtual Machines appeared first on VMware vSphere Blog .

          BrainChip Names James Roe Director of North American Sales      Cache   Translate Page   Web Page Cache   
Extensive experience extends BrainChip Studio’s reach into law enforcement, government agencies and public safety SAN FRANCISCO, July 10, 2018 (GLOBE NEWSWIRE) — BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX:BRN), a leading developer of software and hardware accelerated solutions for advanced artificial intelligence (AI) and machine learning applications, today announced the appointment of James Roe […]
          Could "Super Suits" For Baby Boomers Defuse The Demographic Time Bomb?      Cache   Translate Page   Web Page Cache   

A Silicon Valley startup is gambling on the demographic time bomb that is set to explode in the Western world over the next several decades. The company hopes baby boomers will abandon their canes, wheelchairs, and walkers for futuristic robotic-powered “super suits” that works with the user’s muscles to help boost strength. Just imagine if grandma was turned into a cyborg with one of these contraptions...

The ‘super suit’ helps boost the power of the wearer’s muscles. (Source: Seismic/BBC)

The company called Seismic, an apparel and robotics company spin-off from SRI International, has debuted a new kind of technology that millennials hope could be the solution to defuse the demographic time bomb.

The wearable powered suits aim to improve the wearer’s core strength and turn baby boomers into productive beings once more. The suit’s ‘electric muscles,’ powered by miniature motors are embedded into the futuristic, Under Armour-like clothing around the joints of the body via grips in the suit that function like human tendons.

Motor-powered ‘muscles’ are attached to the clothing near the wearer’s joints. (Source: Seismic/BBC)

A computer and sensors monitor the user’s body movements are also integrated into the suit; complex software with machine learning characteristics decide when the smart clothing should provide extra energy to the user. The hardware in the suit is of low-profile hexagon-shaped pods for a sleek design.

“Right now the only kinds of products that can help people are walkers and canes,” Rich Mahoney, founder and CEO of Seismic told BBC. “The other option is to stay home or to limit your activity. And most people choose that because they don’t really want to associate themselves with those other kinds of products.”

For saleability purposes, Seismic partnered with designer Yves Béhar. “The goal is to make a product that you actually want to wear, not one that you have to wear,” Béhar told BBC. “Comfort is extremely important, as well as aesthetics.”

Seismic plans to debut the powered suit at the Future Starts Here, an exhibition at the Victoria and Albert Museum in London later this year. The company plans to target demographically challenged markets including the US, Japan, and the UK.

Wearable smart apparel for baby boomers and the ‘senior market’ is set to explode in the next decade. The percentage of the global population that is 65 or older will double from 10 percent to 20 percent by 2050, according to Visual Capitalist.

The company is also exploring clothing lines to help those who have experienced strokes and children with muscular dystrophy. There are even plans that the product could be used for occupational safety and industrial applications, for example, auto manufacturing, construction activities, and warehousing.

“As a designer, my focus is in ensuring that this technology is used in a way that makes sense for us as humans – that it improves our daily lives,” said Béhar.

He believes that wearable smart technology is in its infancy. “Ten years from now, technology will only be more invisible,” he added.

So, Seismic is an example of Silicon Valley millennials racing against time with technology to defuse the demographic time bomb that is poised to become one of the most significant social transformations this country has ever seen. The goal, well, it is to turn the baby boomer generation into productive cyborgs and avoid a collapse. Something tells us the collision at play is irreversible. 


          Troubling Trends in Machine Learning Scholarship      Cache   Translate Page   Web Page Cache   
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          CB4 and Dash In Food Stores Partner to Increase Same-Store Growth Through Machine Learning      Cache   Translate Page   Web Page Cache   
...day. With offices in New York , Tel Aviv , and Australia , CB4 is a proud partner of Sequoia Capital. For additional information, visit www.cb4.com . Follow us on Twitter at @CB4_Analytics and connect with us on LinkedIn. Contact Matthew McAlister , 347 ...


          App Dev 2      Cache   Translate Page   Web Page Cache   
WA-Redmond, RESPONSIBILITIES: Kforce has a client in search of an App Dev 2 in Redmond, Washington (WA). Summary: Our client is a cutting-edge provider of world class software, solutions and services. Employing over 100,000 passionate people worldwide, they empower every person and every organization on the planet to achieve their dreams. Their best in class advancements in cloud, mobile, machine learning, an
          (USA-CA-Burlingame) Technical Manager, Paid Search      Cache   Translate Page   Web Page Cache   
The Creative Group is looking for a Technical Manager, Paid Search in Burlingame. Are you able to: ? Drive ideation, development, and implementation of scripts and programs to automate SEM management and optimization across the team. ? Analyze and use data to make informed decisions and build automated processes around bid, ad copy, and landing page optimization. ? Clean up data from disparate sources and generate valuable insights. ? Understand our data structures and how data ties between internal and external systems. Find opportunities and build strategies to expand data visibility. ? Ownership of the structure, tactical direction, optimization, spend, and P L of specific campaigns in the online lead aggregation space. ? Report on and communicate about test results/ideas within the marketing and product teams. ? Research and communicate trends in the competitive landscape. ? Work across teams to optimize the user experience. Well, you might be the right match for this role! At TCG, we're committed to you from the moment you sign up. We won't make you work a certain number of hours or fill out piles of paperwork before we commit to you and your professional future. We believe it's important to spend time with you from the beginning in order to assess your skills, determine your strengths and figure out the type of work you want to do. Our trained staffing professionals understand that you have a real passion for your work and do their best to find opportunities that are the best fit for you. And we don't stop there. We're also available to help with your career questions, provide tips on improving your portfolio and acing interviews, and more. Plus, as one of our registered candidates, you'll have access to thousands of online training courses and books – and of course, everything is free and available when you need it. Apply for this job now or contact our branch office at 1.888.846.1668 to learn more about this position. All applicants applying for U.S. job openings must be authorized to work in the United States. Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. © 2018 The Creative Group. A Robert Half Company. An Equal Opportunity Employer M/F/Disability/Veterans. By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use. *Req ID:* 00410-9501358101 *Functional Role:* Social Media *Country:* USA *State:* CA *City:* Burlingame *Postal Code:* 94011 *Compensation:* $125,000.00 to $125,000.00 per year *Requirements:* Requirements: ? Motivated, results-driven self-starter with an extraordinary appetite for both guided and self-driven learning, and meticulous attention to detail ? Ability to logically structure thoughts, analysis and solutions based on data ? 3-5 years of experience using coding and machine learning to derive insights and make actionable recommendations. Experience integrating coding and automation to optimize SEM campaigns a strong plus. ? Advanced knowledge of Excel required. ? Strong SQL programming skills are required. ? Experience with data wrangling and analysis in R/Rstudio or Python is required (e.g. with dplyr or pandas) Preferred Experience: ? Machine learning knowledge a big plus (e.g. LASSO Regression, Random Forests, GBM, ARIMA, Data Clustering). ? Knowledge of running paid search campaigns on Google, Yahoo and Bing a plus. ? Experience with APIs a plus. Previous experience with direct report management a plus. For consideration, please forward resumes to felise.moglia@creativegroup.com
          (USA-TX-Dallas) Robotics Computer Vision Engineer      Cache   Translate Page   Web Page Cache   
Robotics Computer Vision Engineer + Dallas, TX, USA + Full Time + Mobile Robotics Email Me This Job Join Bastian Solutions' R&D Mobile Robotics team in Dallas and be a part of the development of a Mobile Robotics solution for the Material Handling industry from the ground up. We are looking for a Robotics Computer Vision Engineer to join our R&D Mobile Robotics team in Dallas/Fort Worth. The goal will be to develop algorithms for advanced robotics system involving "pick and place" applications and object detection and recognition.New challenges will be presented daily which requires a diverse knowledge in many different disciplines - requiring the team to be fast moving and continuously growing. Responsibilities: + Develop novel, accurate computer vision algorithms that support advanced robotics applications. + Research, develop and prototype advanced hardware and software technologies related to tracking, 3D reconstruction, photometric stereo, object detection and appearance modeling + Apply machine learning to computer vision problems + Maintaining high level of communications with cross-functional team, vendors, and clients. Minimum qualifications: + BS in Computer Science, Computer Engineering, or related technical field + Experience developing computer vision software in C++, including algorithm design and systems software development + Experience with machine learning, Bayesian filtering, information theory and/or 3D geometry + Understanding of applied mathematics, numerical optimization, Signal Processing, and Object/Pattern Recognition + Prototyping skills Preferred qualifications: + MS degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field + 3+ years' experience with real-time object tracking, SLAM, sensor fusion, real-time image processing, etc. + Experience training neural networks + Exposure to ROS (Robotic Operating System) – strongly desired. + Have a passion for robotics, a creative mind, and a desire to learn new technologies. Bastian Solutions, a Toyota Advanced Logistics company, is an independent material handling and robotics system integrator providing automated solutions for distribution, manufacturing, and order fulfillment centers around the world. We have over 60 years of experience building long term business partnerships. In addition to salary, commissions and incentive plans, we offer a wide variety of benefits, services and perks available to assist employees and their families in a variety of ways. These benefits help each individual maintain a good balance in their life. Other benefits of the role include: + Health, Dental, and Vision Insurance + 401(k) Retirement Plan with a company match + Vacation/Holiday Pay + Short/Long Term Disability Insurance + Tuition Reimbursement + Flexible Work Schedules + Volunteer Work + Professional Associations, Conferences and Subscriptions + Company Meetings & Events Join our growing team and sell, design and implement industry leading automated material handling solutions! #LI-SC1 Bastian Solutionshttps://bastiansolutions.hirecentric.com +
          (USA-NY-New York) Senior Principal Business Analyst, Quantitative Research- New York, NY      Cache   Translate Page   Web Page Cache   
Title: Senior Principal Business Analyst, Quantitative Research- New York, NY Location: null Other Locations: null We Work to Protect Investors. Join our Team. The Financial Industry Regulatory Authority (FINRA) is seeking a well-qualified individual for our Senior Principal Business Analyst, Quantitative Research opening in New York, NY . To be considered for this position, please submit your resume through our career site at www.finra.org/careers – no phone calls, please. Job Summary: Leverage data analytics to effectively examine and conduct surveillance of market participants in mainly Broker-Dealer space. ADAU staff will support the examination and surveillance efforts by closely aligning with internal FINRA teams. This role will manage junior staff as well as help build tools based on needs identified during our field work and interaction with the rest of FINRA staff. Essential Job Functions: Serve as a quantitative research analyst working with FINRA staff to build sophisticated predictive models, risk analytics and proper empirical methodology utilizing member firm exam data. Manage a team of Junior Quantitative Research Analysts Work with Member Regulation staff during the examinations of broker-dealers by conducting interviews of compliance professionals and quantitative/modeling experts at the firms, designing document requests to elicit information about registrant’s products and strategies Support Enforcement and other Member Supervision staff in the investigation and litigation of cases using data arising from exam referrals and other metadata sources. Will work with the Director of Predictive Analytics and the Business Units to understand and build business requirements into models. Assist Sr. Director in the defining of data requirements and appropriateness for use. Provide technical expertise for the design and conduct of comprehensive, complicated financial data studies, surveys, reviews, and research projects where the boundaries are extremely broad and difficult to determine in advance. Conduct research in areas such as the analysis of new financial instruments and strategies, options, and derivatives which involves the application of financial engineering methodologies and employment of financial theory and applied mathematics, as well as computation and the practice of programming. Work with junior staff to develop state-of-the-art software tools to collect, and analyze large volumes of structured and/or unstructured data and help with the implementation of these tools firm-wide. Work with large volumes of financial data from different instruments and sources for back-testing and validation of models, algorithms, and strategies. Develop reports based on the evaluation and interpretation of studies in the assigned area of financial engineering. Manage a small team of at least 2-4 employees Education/Experience Candidate must possess at least an undergraduate degree in: finance, engineering, mathematics, statistics, computer science, actuarial science, economics or related technical field. Preferred: Graduate degree in: financial engineering, computational or mathematical finance, computer science, statistics or related field. At least 5 years of experience and knowledge in the field of quantitative research and the specialized area of financial engineering, data science, or risk analytics as it relates to the securities industry. Knowledge of predictive model development and oversight. Knowledge of financial engineering to develop, maintain and/or validate models used for forecasting, valuation, instrument and strategy selection, portfolio construction, and risk management covering a wide range of financial instruments, including equities, fixed income, currencies, futures, commodities, and/or derivatives. Strong background in machine learning, hypothesis testing, regression analysis, statistics, or probability at the graduate school level or higher, as well as experience creating predictive analytics on noisy data. Background in text analytics, news aggregation and natural language processing. Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition and outlier detection algorithms, and predictive modeling methods including decision trees and random forest approaches. Experience in utilizing sophisticated models and products for managing risks in portfolio construction, trade decision, and execution and hedging, including multi-factor models such as BARRA; risk management metrics and methods such as VaR and stress testing models, valuation and pricing, and model sensitivity and risk statistics. The candidate must be comfortable working and communicating with a variety of people with varying skill and knowledge levels; able to handle multiple tasks under tight deadlines; and comfortable working independently. Work Conditions Regular office conditions; some travel may be required. The information provided above has been designed to indicate the general nature and level of work of the position. It is not a comprehensive inventory of all duties, responsibilities and qualifications required. Please note: If the “Apply Now” button on a job board posting does not take you directly to the FINRA Careers site, enter www.finra.org/careers into your browser to reach our site directly. FINRA strives to make our career site accessible to all users. If you need a disability-related accommodation for completing the application process, please contact FINRA’s accommodation help line at 240.386.4865. Please note that this number is exclusively for inquiries regarding application accommodations. In addition to a competitive salary, comprehensive health and welfare benefits, and incentive compensation, FINRA offers immediate participation and vesting in a 401(k) plan with company match. You will also be eligible for participation in an additional FINRA-funded retirement contribution, our tuition reimbursement program and many other benefits. If you would like to contribute to our important mission and work collegially in a professional organization that values intelligence, integrity and initiative, consider a career with FINRA. Important Information FINRA’s Code of Conduct imposes restrictions on employees’ investments and requires financial disclosures that are uniquely related to our role as a securities regulator. FINRA employees are required to disclose to FINRA all brokerage accounts that they maintain, and those in which they control trading or have a financial interest (including any trust account of which they are a trustee or beneficiary and all accounts of a spouse, domestic partner or minor child who lives with the employee) and to authorize their broker-dealers to provide FINRA with duplicate statements for all of those accounts. All of those accounts are subject to the Code’s investment and securities account restrictions , and new employees must comply with those investment restrictions—including disposing of any security issued by a company on FINRA’s Prohibited Company List or obtaining a written waiver from their Executive Vice President—by the date they begin employment with FINRA. Employees may only maintain securities accounts that must be disclosed to FINRA at one or more securities firms that provide an electronic feed (e-feed) of data to FINRA, and must move securities accounts from other securities firms to a firm that provides an e-feed within three months of beginning employment. As standard practice, employees must also execute FINRA’s Employee Confidentiality and Invention Assignment Agreement without qualification or modification and comply with the company’s policy on nepotism. About FINRA FINRA is an independent, non-governmental regulator for all securities firms doing business with the public in the United States. FINRA works to protect investors and maintain market integrity in a public-private partnership with the Securities and Exchange Commission (SEC), while also benefiting from the SEC’s oversight. In its role as investor guardian, FINRA is informed, but not influenced, by the industry that it regulates. FINRA’s independent regulation plays a critical role in America’s financial system–all at no cost to taxpayers. FINRA touches virtually every aspect of the securities business—from registering and educating industry participants to examining securities firms; writing rules; enforcing those rules and the federal securities laws; informing and educating the investing public; providing trade reporting and other industry utilities; and administering the largest dispute resolution forum for investors and registered firms. FINRA uses technology powerful enough to look across markets and detect potential abuses. Using a variety of data gathering techniques, we work to detect insider trading and any strategies firms or individuals use to gain an unfair advantage. In today's fast-paced and complex global economy, FINRA is a trusted advocate for investors, dedicated to keeping the markets fair and proactively addressing emerging regulatory issues before they harm investors or the markets. FINRA operates from Washington, DC, and New York, NY, with other offices around the country. Find out more about us and how we work—and view our current openings—at www.finra.org/careers. Search Firm Representatives Please be advised that FINRA is not seeking assistance or accepting unsolicited resumes from search firms for this employment opportunity. Regardless of past practice, a valid written agreement and task order must be in place before any resumes are submitted to FINRA. All resumes submitted by search firms to any employee at FINRA without a valid written agreement and task order in place will be deemed the sole property of FINRA and no fee will be paid in the event that person is hired by FINRA. FINRA is an Equal Opportunity and Affirmative Action Employer All qualified applicants will receive consideration for employment without regard to age, citizenship status, color, disability, marital status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any other classification protected by federal state or local laws as appropriate, or upon the protected status of the person’s relatives, friends or associates. FINRA abides by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability, and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities. FINRA abides by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans, and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified protected veterans. ©2018 FINRA. All rights reserved. FINRA is a registered trademark of the Financial Industry Regulatory Authority, Inc.
          (USA-WA-Bellevue) Manager, Sales Planning & Analysis      Cache   Translate Page   Web Page Cache   
Manager, Sales Planning & Analysis US-WA-Bellevue + Apply + View All Jobs Share This Job Company Information Mixing technology, data, and first-in-class innovation, EagleView® is not only leading the property data analytics market, but also changing lives along the way. Come join us and make great things happen! EagleView is a fast-growing technology company driving game changing innovation in multibillion-dollar markets such as property insurance, energy, construction, and government. Leveraging 17 years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is fundamentally transforming how our customers do business. At EagleView, we believe that making our culture engaging and empowering are keys to success. Our kitchens are stocked 24/7; social, athletic, and wellness opportunities are plentiful; and the growth, education, and potential of employees is a top priority, making EagleView a “Best Place to Work” for more than five years running. Job Description The Manager, Sales Planning & Analysis will report to our Chief Revenue Officer and work with the Sales Leadership Team to support sales planning & analysis. In this newly created role, the incumbent will help establish/streamline policies and procedures throughout the sales organization, support best practices in sales forecasting, reporting, and communications. Responsibilities would include data analysis, reporting, market research, competitive analysis, planning, and sales process optimization. Ideal candidates will have business analysis experience, excellent communication skills, and the ability to work in a dynamic, fast-paced and fun environment. Primary Responsibilities: + Evaluate sales planning situation with respect to operational viewpoint. + Conduct in-depth quantitative analysis to assist in sales planning. + Track and analyze key metrics - pipeline growth, quota attainment + Collect, consolidate and generate weekly sales forecasts (month and quarter focus) and roll up each + week’s numbers to Sales Management + Compile key pieces of information related to performance against sales objectives to be reviewed by Management and report approved plans to Finance and HR + Reporting and analysis for the Sales departments, including: executive reporting and presentation of key metrics and KPIs, campaign tracking and analysis, and ad hoc strategic analysis. + Implement and manages reports and dashboards in Salesforce.com ensuring sales reps and leaders have access to key data required to successfully manage the business. + Monitors the accuracy and efficient distribution of sales reports and external intelligence essential to the sales organization. + Stimulate continuous enhancement in sales reporting packages given to internal management team, senior leadership team and our owners. + Prepare scheduled, in-depth evaluation of sales performance for external and internal reporting. Skills & Requirements + Bachelor's Degree required, Master’s Degree preferred. + 5 plus years in a Business Analyst or similar role; management or lead experience + Experience with Salesforce.com or similar CRM application; ability to perform Salesforce.com administrative functions a plus + Proven ability to manage strategic sales planning and operational discipline with attention to detail and time management. + Strong quantitative and qualitative analytical abilities + Excellent systems skills including Excel & PowerPoint are required. + Exceptional communication skills, evidenced by successful executive level interactions, strong writing and outstanding presentation experience, facilitation and influencing skills. + Proven ability to lead through change and transformation with an ability to adapt to shifting priorities. + Ability to work collaboratively with colleagues and staff to create a results-driven, team-oriented sales culture. + High level of personal and professional integrity.hire EagleView® offers competitive pay and robust benefit plans along with the opportunity to grow your career in a fast-paced, fun and casual environment. EagleView and its subsidiaries are committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Disability/Veteran. + Apply + View All Jobs
          (USA-WA-Bellevue) Sr. Recruiter      Cache   Translate Page   Web Page Cache   
Sr. Recruiter US-WA-Bellevue + Apply + View All Jobs Share This Job Company Information Mixing technology, data, and first-in-class innovation, EagleView® is not only leading the property data analytics market, but also changing lives along the way. Come join us and make great things happen! EagleView is a fast-growing technology company driving game changing innovation in multibillion-dollar markets such as property insurance, energy, construction, and government. Leveraging 17 years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is fundamentally transforming how our customers do business. At EagleView, we believe that making our culture engaging and empowering are keys to success. Our kitchens are stocked 24/7; social, athletic, and wellness opportunities are plentiful; and the growth, education, and potential of employees is a top priority, making EagleView a “Best Place to Work” for more than five years running. Job Description We are currently looking for a Sr. Recruiter to join our team in our Bellevue office. In this role, you will have the experience to grow with our rapidly expanding business. The sky is the limit – literally. You will develop, drive, and execute on staffing strategies and employment brand initiatives with the rest of our rock star recruiting team. Primary Responsibilities + Full lifecycle recruiting management, including needs analysis, applicant tracking, sourcing, screening, interviewing, debriefing, reference checking and closing offers of employment. + Use data and metrics to measure recruiting success, analyze productivity and optimize results. + Support and lead the implementation and on-going optimization of business-wide recruiting programs, with a strong focus on diversity and inclusion. + Own the strategies and candidate pipelines for roles in multiple professional domains across the company working with the hiring managers to deliver solid qualified candidates. + Build sourcing strategies to cultivate long term, white glove, relationships with talent through pro-active market research, university recruiting programs, and on-going relationship management and network building. Skills & Requirements + Bachelor’s Degree in Business Administration, Human Resources, Marketing or related field preferred. MBA or other advanced degree a plus. + 4+ years of successful recruiting experience, in tech, with at least 1 year in-house. + Love data - have strong analytical skills and use them to influence decisions. + Foster a world-class candidate experience from initial contact onwards. + Well versed in all aspects of recruiting including but not limited to: employment branding, diversity and inclusion, immigration and mobility, OFCCP, recruiting systems and technology, compensation and benefits, and employment laws + Experience with passive candidate generation using a variety of sourcing techniques, able to quickly penetrate talent markets and build strong relationships / professional connections + Skilled at partnering with hiring teams to build effective sourcing, assessment, and closing approaches with an ability to manage hiring manager’s expectations through the recruitment lifecycle to a positive outcome. + Business insight; ability to understand an organization's business model, operations, financial goals, and competitive position EagleView® offers competitive pay and robust benefit plans along with the opportunity to grow your career in a fast-paced, fun and casual environment. EagleView and its subsidiaries are committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Disability/Veteran. + Apply + View All Jobs
          (Sr.) Product Manager - Machine Learning SaaS      Cache   Translate Page   Web Page Cache   
MA-Boston, My client is seeking an entrepreneurial, motivated, product leader to drive its efforts serving enterprise customers. Product Managers work across the company's expert-leading marketplace, as well as our emerging software business serving top companies, both internal and external. Client Details This Boston-based SaaS startup has redefined the way that companies utilize Machine Learning and Artifi
          Google Applies More Machine Learning To Increase The Reach Of Ads Across Its Properties      Cache   Translate Page   Web Page Cache   

As Google continues to develop its technology, "machine learning" has become one of its favorite talking points. On Tuesday, the tech giant put that robotic buzzword to use once again, this time with regard to its ad offerings. It unveiled four new features, all informed by advancements in machine learning, for its marketing partners.

The changes apply to multiple Google-owned platforms. An update to Google's search ads, for example, will let marketers automate the process of testing different ads against one another. On YouTube, meanwhile, advertisers can now "maximize lift" on their spots by employing a program that can adjust bids for well-performing ads in real time. A third tool, available across YouTube and Google, is specifically designed to drive foot traffic to local businesses. The final new feature, titled Smart Shopping, uses an automated process to maximize conversations on YouTube's shoppable ads.

Visit Tubefilter for more great stories.


          Business Intelligence Engineer - Amazon.com - Seattle, WA      Cache   Translate Page   Web Page Cache   
Experience with Machine Learning (ML). The team is seeking an Sr Business Intelligence Engineer with broad technical skills to help build the infrastructure and...
From Amazon.com - Wed, 27 Jun 2018 19:20:51 GMT - View all Seattle, WA jobs
          Buyers beware!      Cache   Translate Page   Web Page Cache   

I have a very close friend who had a long and quite successful career in retail. She spent many years as the buyer for designer ready-to-wear for N-M – a high-pressure, high-stakes, high-visibility job that she loved. She’s now retired, but she logged millions of miles jetting from one Fashion Week to the next -  Paris. Milan. NYC. She was on a first name basis with household-word designers and she remains a dedicated follower of fashion, even though she’s now out of the game, other than as a spectator..

So the other day, when I saw an article in the NY Times on Artificial Intelligence’s incursion into the fashion biz, Joyce was the first person I thought of. I sailed a link to the story off to her. A nano-second later, I got a response: “Love this!!!”

We didn’t get into detail on why she loved it. Does she think it will help buyers? Put them out of their misery? Does she wish that she’d had an AI assistant when she was in the throes of her buying “sprees”? Is she hearkening back to an early stage in her career, when she actually did design work for a sweater company?

One of the best-selling T-shirts for the Indian e-commerce site Myntra is an olive, blue and yellow colorblocked design. It was conceived not by a human but by a computer algorithm — or rather two algorithms.

The first algorithm generated random images that it tried to pass off as clothing. The second had to distinguish between those images and clothes in Myntra’s inventory. Through a long game of one-upmanship, the first algorithm got better at producing images that resembled clothing, and the second got better at determining whether they were like — but not identical to — actual products.

This back and forth, an example of artificial intelligence at work, created designs whose sales are now “growing at 100 percent,” said Ananth Narayanan, the company’s chief executive. “It’s working.”

The fashion industry illustrates how machines can intrude even on workers known more for their creativity than for cold empirical judgments. Among those directly affected will be the buyers and merchandise planners who decide which dresses, tops and pants should populate their stores’ inventory.(Source: NY Times)

The AI guys, of course, keep assuring us that AI will only partially automate jobs like clothing design and buying. It will augment the way human works, make them better at their jobs.

Maybe for a while, but as AI gets smarter and smarter – and there’s an underlying AI technology called Machine Learning that helps make AI smarter and smarter as it goes along – the human role will inevitably diminish further and maybe even disappear.

Again, the counterargument arises: we’ll need more human intermediaries between companies and consumers. AI may make  all the decisions about what’s going into your closet, but there’ll be a human being to check on whether you really do like that yellow, blue and olive color-blocked shirt, a human being devoted to keeping you brand-loyal and spending away.

The same day I spotted this Times article, I caught a headline somewhere that wasn’t quite click-baity enough for the mood or the moment, but it was something along the lines of when AI and robots take all those jobs away, there’ll always be the need for home healthcare attendants to see to aging Baby Boomers.

Trouble is, of course, two-fold.

One, these jobs don’t pay as well as the skilled blue-, pink-, and white-collar jobs they’ll replace. And two, what make anyone think that robots won’t be taking care of a ton of what healthcare attendants do.

I suppose I’ll see for myself one of these days. But if I don’t recognize the difference between a human wiping the drool off my chin and a robot, what difference will it make anyway?

Sigh.

Glad that I won’t live to see the full culmination of the brave new world.

Meanwhile, buyers beware. AI’s coming for you, and it’s coming fast.


          Research Scientist - Machine Learning - Intel - Hillsboro, OR      Cache   Translate Page   Web Page Cache   
Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units. Inside this Business Group....
From Intel - Wed, 04 Jul 2018 11:32:10 GMT - View all Hillsboro, OR jobs
          Research Engineer Machine Learning - Intel - Hillsboro, OR      Cache   Translate Page   Web Page Cache   
Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units....
From Intel - Fri, 08 Jun 2018 10:27:28 GMT - View all Hillsboro, OR jobs
          Insurance General Manager - DataRobot - Boston, MA      Cache   Translate Page   Web Page Cache   
DataRobot is defining a category called automated machine learning and has already raised more than $122M from the likes of NEA, Intel Ventures and New York...
From DataRobot - Wed, 20 Jun 2018 20:26:05 GMT - View all Boston, MA jobs
          Solutions Architect - NVIDIA - Washington State      Cache   Translate Page   Web Page Cache   
Assist field business development in through the enablement process for GPU Computing products, technical relationship and assisting machine learning/deep...
From NVIDIA - Fri, 20 Apr 2018 08:02:03 GMT - View all Washington State jobs
          Embedded ML Developer - Erwin Hymer Group North America - Virginia Beach, VA      Cache   Translate Page   Web Page Cache   
NVIDIA VisionWorks, OpenCV. Game Development, Accelerated Computing, Machine Learning/Deep Learning, Virtual Reality, Professional Visualization, Autonomous...
From Indeed - Fri, 22 Jun 2018 17:57:58 GMT - View all Virginia Beach, VA jobs
          Solutions Architect - NVIDIA - Virginia      Cache   Translate Page   Web Page Cache   
Build and cultivate internal understanding of data analytics and machine learning among the NVIDIA technical community....
From NVIDIA - Sun, 03 Jun 2018 08:00:36 GMT - View all Virginia jobs
          Solutions Architect - NVIDIA - Maryland      Cache   Translate Page   Web Page Cache   
You will also be an internal champion for Data Analytics and Machine Learning among the NVIDIA technical community....
From NVIDIA - Sun, 08 Jul 2018 07:55:18 GMT - View all Maryland jobs
          Senior Solution Architect - Cyber Security - NVIDIA - Maryland      Cache   Translate Page   Web Page Cache   
You will also be an internal champion for Cyber Security and Machine Learning among the NVIDIA technical community....
From NVIDIA - Mon, 02 Apr 2018 08:01:16 GMT - View all Maryland jobs
          Vice President of Engineering - IDx LLC - Coralville, IA      Cache   Translate Page   Web Page Cache   
Work with world-renowned doctors who are pushing the limits of machine learning in medicine. Build a performance driven Engineering team through the development...
From IDx LLC - Tue, 17 Apr 2018 23:17:11 GMT - View all Coralville, IA jobs
          Solutions Architect - NVIDIA - Santa Clara, CA      Cache   Translate Page   Web Page Cache   
Build and cultivate internal understanding of data analytics and machine learning among the NVIDIA technical community....
From NVIDIA - Sun, 10 Jun 2018 14:00:22 GMT - View all Santa Clara, CA jobs
          Solutions Architect, Accelerated Computing - NVIDIA - Santa Clara, CA      Cache   Translate Page   Web Page Cache   
Assist field business development in through the enablement process for GPU Computing products, technical relationship and assisting machine learning/deep...
From NVIDIA - Wed, 30 May 2018 01:55:35 GMT - View all Santa Clara, CA jobs
          Senior Machine Learning Engineer, AI Personalization - Zillow Group - Seattle, WA      Cache   Translate Page   Web Page Cache   
Personalization is a critical part of making Zillow the largest, most-trusted, and vibrant home-related market in the world....
From Zillow Group - Tue, 10 Jul 2018 01:07:37 GMT - View all Seattle, WA jobs
          Machine Learning Solution Architect - HP - Fort Collins, CO      Cache   Translate Page   Web Page Cache   
Working with Light House customers and HP labs, identify and model representative Machine Learning work flows....
From HP - Tue, 03 Apr 2018 11:35:03 GMT - View all Fort Collins, CO jobs
          Architect - Microsoft - Redmond, WA      Cache   Translate Page   Web Page Cache   
Preferred experience with at least one of the Machine Learning related technologies (SAS, SPSS, RevR, Azure ML, MapR)....
From Microsoft - Wed, 25 Apr 2018 01:08:05 GMT - View all Redmond, WA jobs
          Machine Learning Operations and Analytics Developer      Cache   Translate Page   Web Page Cache   
TX-Plano, We are seeking a Machine Learning Operations and Analytics – Software Developer for a large financial services client in Plano, Texas! For immediate consideration email resume to: RECRUITING@MILLGROUPUSA.COM Must be GC or US Citizen Minimum Experience: Bachelor’s degree or equivalent work experience and additional 2+ years relevant cloud computing or machine learning experience. Working knowledge
          Banco que errou quase tudo diz que final da Copa será entre Bélgica e Inglaterra      Cache   Translate Page   Web Page Cache   
goldman-preve-final-b9

O grupo financeiro Goldman Sachs, que utiliza machine learning para simular um milhão de variações para ter uma resposta final, afirma que a Copa do Mundo será decidida entre Bélgica e Inglaterra. As previsões do grupo, porém, não parecem muito confiáveis, já que inicialmente apontaram uma final entre Brasil e Alemanha – o primeiro foi eliminado ...

O post Banco que errou quase tudo diz que final da Copa será entre Bélgica e Inglaterra apareceu primeiro em B9.


          Google Announces Machine Learning-Based Ads Designed for Attribution, Personalization      Cache   Translate Page   Web Page Cache   
Google announced on Tuesday a suite of new machine learning-backed ad tools that promise to keep its brand partners happy at a time when digital advertising faces unprecedented brand safety concerns. Among the tools is one explicitly designed to maximize foot traffic.
          Uncertainty Quantification and Machine Learning Postdoc - Los Alamos National Laboratory - Los Alamos, NM      Cache   Translate Page   Web Page Cache   
The short drive to work includes stunning views of the Valles Caldera as well as the Sangre de Cristo mountains....
From Los Alamos National Laboratory - Wed, 20 Jun 2018 20:30:21 GMT - View all Los Alamos, NM jobs
          Download Learning Spark SQL: Architect streaming analytics and machine learning solutions - Aurobindo Sarkar [File(PDF,Epub,Txt)]      Cache   Translate Page   Web Page Cache   

none Click This Link To Download : http://bit.ly/2L7c3YK Language : English
          IA et Machine Learning : Apple réorganise ses équipes sous la houlette de John Giannandrea      Cache   Translate Page   Web Page Cache   
Apple vient de créer une nouvelle équipe IA (Intelligence Artificielle) et ML (Machine Learning ou Apprentissage Automatique en français) supervisée par John Giannandrea, ex-Googler.
          New Apple AI chief to oversee Siri, Machine Learning      Cache   Translate Page   Web Page Cache   

San Francisco: Revealing its future plans, Apple has formally announced to make ex-Google executive John Giannandrea its Chief of Machine Learning (ML) and Artificial Intelligence (AI) Strategy.

Reporting to CEO Tim Cook, Giannandrea who joined Apple in April will be in charge of Apple's ML division, Siri and the Core ML team, the company updating its executive leadership page, said.

Giannandrea will look after further development of Core ML and Siri technologies. With Core ML, third-party developers can integrate trained ML models into their apps.

Prior to Apple, Giannandrea spent eight years at Google where he led the Machine Intelligence, Research and Search teams. Before it, he co-founded two technology companies - Tellme Networks and Metaweb Technologies.

At Google, Giannandrea took the role of Senior Vice President of Engineering from Amit Singhal in early 2016, signalling Google's emphasis on weaving ML and AI into its Search engine.

According to media reports, Apple lags behind from Google and Amazon in key AI areas like Natural language Processing (NLP) and computer vision needed to power voice assistant features in Siri.

Apple has invested in Siri and HomeKit to compete with Google Home and Alexa-based smart home systems.

In 2017, Apple added an AI chip called Neural Engine to the A11 Bionic for the iPhone 8, iPhone 8 Plus and iPhone X to work with the Image Signal Processor (ISP).

Apple has posted several job openings for AI/ML engineers at its different offices globally.


          (Senior) Product Specialist - SAP Machine Learning for Sales and Service - SAP - Walldorf      Cache   Translate Page   Web Page Cache   
SAP's vision for Machine Learning is to focus on solving real business problems that will have huge business impact....
Gefunden bei SAP - Wed, 04 Jul 2018 11:34:10 GMT - Zeige alle Walldorf Jobs
          Senior Developer / Development Architect for Cloud projects for SAP Innovative Business Solutio - SAP - Walldorf      Cache   Translate Page   Web Page Cache   
We make innovation real by using the latest technologies around the Internet of Things, blockchain, artificial intelligence / machine learning, and big data and...
Gefunden bei SAP - Thu, 28 Jun 2018 11:35:17 GMT - Zeige alle Walldorf Jobs
          Research Scientist - Varian Medical Systems - Regina, SK      Cache   Translate Page   Web Page Cache   
Build and optimize machine learning models for the automation of treatment planning for radiation therapy. When you join Varian, you’re joining an organization...
From Varian Medical Systems - Tue, 05 Jun 2018 18:08:57 GMT - View all Regina, SK jobs
          App Dev 2      Cache   Translate Page   Web Page Cache   
WA-Redmond, RESPONSIBILITIES: Kforce has a client in search of an App Dev 2 in Redmond, Washington (WA). Summary: Our client is a cutting-edge provider of world class software, solutions and services. Employing over 100,000 passionate people worldwide, they empower every person and every organization on the planet to achieve their dreams. Their best in class advancements in cloud, mobile, machine learning, an
          Sr Director, Growth Marketing Technology - eBay Inc. - Bellevue, WA      Cache   Translate Page   Web Page Cache   
Further, the Marketing Tech Leader will apply the latest data analysis and machine learning technologies to innovate applications in both BI analysis and...
From eBay Inc. - Fri, 01 Jun 2018 08:04:49 GMT - View all Bellevue, WA jobs
          Software Engineer - Machine Learning - Convoy - Seattle, WA      Cache   Translate Page   Web Page Cache   
Today, we use machine learning to figure out freight prices, shipment relevance for carriers, auction bidding strategy, and other internal processes....
From Convoy - Sat, 19 May 2018 10:13:22 GMT - View all Seattle, WA jobs
          Senior Product Manager, Machine Learning - Whitepages - Seattle, WA      Cache   Translate Page   Web Page Cache   
Whitepages identify verification is also used by leading companies including Jet Blue, Lego and Intuit to prevent fraudulent transactions while delivering great...
From Whitepages - Thu, 17 May 2018 04:02:40 GMT - View all Seattle, WA jobs
          Develop Smart Applications With Machine Learning Platform      Cache   Translate Page   Web Page Cache   
Do you need help with large scale machine learning? ClusterOne is the most powerful yet flexible machine learning platform that helps you in number of ways. It gives the engineers and data practitioners with great support while developing smart AI applications.
          Nanotronics Unveils New Products Driven by Advances in Artificial Intelligence and Machine Learning at SEMICON WEST 2018      Cache   Translate Page   Web Page Cache   
...developments in machine learning. Matthew Putman, CEO and founder of Nanotronics, remarked, "research and development are core tenets of our business. To innovate, we believe in pushing the boundaries of what we know, discovering, creating and testing breakthrough technologies that are ...


          Mindsphere Principal PreSales Solutions Consultant - West, US - Siemens AG - Seattle, WA      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:42:27 GMT - View all Seattle, WA jobs
          Mindsphere Principal PreSales Solutions Consultant - South Central, US - Siemens AG - Dallas, TX      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:43:00 GMT - View all Dallas, TX jobs
          Mindsphere Principal PreSales Solutions Consultant - Siemens - Austin, TX      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens - Tue, 03 Jul 2018 03:23:32 GMT - View all Austin, TX jobs
          Data Science Analyst - Strategic Data Solutions - Apple - Austin, TX      Cache   Translate Page   Web Page Cache   
We apply data science and machine learning to drive strategic impact across multiple lines of business at Apple....
From Apple - Fri, 06 Jul 2018 13:47:35 GMT - View all Austin, TX jobs
          Sr Software Engineer - Applied Machine Learning - Apple - Austin, TX      Cache   Translate Page   Web Page Cache   
We work on many high-impact projects that serve various Apple lines of business. Understanding of machine learning, statistics....
From Apple - Fri, 15 Jun 2018 01:48:26 GMT - View all Austin, TX jobs
          Director, Customer Service Product and Tools - Kabam - Austin, TX      Cache   Translate Page   Web Page Cache   
Enthusiastic about the latest mobile trends and emerging technologies (IE Machine Learning, AI). Providing leadership and supporting for the technology...
From Kabam - Thu, 24 May 2018 02:31:26 GMT - View all Austin, TX jobs
          Apple réunit ses équipes IA et machine learning sous la houlette de John Giannandrea      Cache   Translate Page   Web Page Cache   
La firme à la pomme place ses unités qui gèrent Core ML et Siri sous la supervision de John Giannandrea fraîchement arrivé en provenance de chez Google.
          Apple、役員紹介ページにMachine Learning and AI Strategy担当責任者John Giannandrea氏を追加      Cache   Translate Page   Web Page Cache   
John Giannandrea氏

John Giannandrea氏

Appleが、Appleの役員についてのページに、Machine Learning and AI Strategy担当責任者でシニアヴァイスプレジデントのJohn Giannandrea氏を追加しています。

John Giannandrea氏は、同氏が立ち上げたMetaweb Technologies社を、Googleが2010年に買収したことで、Googleのエンジニア・チームに参加し、2016年2月にGoogleの検索担当シニアヴァイスプレジデントAmit Singhal氏が退任したのに伴い、同職の後任者となり、その後Appleに転職しています。

なお、同氏がCTOを勤めていた音声認識技術を開発するTellme Networksは、Microsoftによって買収されています。


「Apple、役員紹介ページにMachine Learning and AI Strategy担当責任者John Giannandrea氏を追加」の続きを読む


          Mindsphere Principal PreSales Solutions Consultant - West, US - Siemens AG - Seattle, WA      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:42:27 GMT - View all Seattle, WA jobs
          Data Architect - Remote West coast - Insight Enterprises, Inc. - Dallas, TX      Cache   Translate Page   Web Page Cache   
R, Azure Machine Learning. 2017 Arizona’s Most Admired Companies (AZ Business Magazine), 2016 Best Places to Work (Phoenix Business Journal)....
From Insight - Mon, 14 May 2018 23:57:10 GMT - View all Dallas, TX jobs
          University Recruiter (Contract) - Intel - Hillsboro, OR      Cache   Translate Page   Web Page Cache   
Inside this Business Group. High level understanding of AI, Deep Learning, Machine Learning, etc. Regularly monitor candidate pipeline activity and share...
From Intel - Wed, 20 Jun 2018 10:37:58 GMT - View all Hillsboro, OR jobs
          (USA-MN-Bloomington) Sr. Market Program Manager - HPC      Cache   Translate Page   Web Page Cache   
Sr. Market Program Manager - HPC Sr. Market Program Manager - HPC - Skills Required - HPC Marketing Initiatives, Supercomputing/HPC Industry, PR - AR - Demand Gen - Sales Enablement, Manage Expectations - Progress - Strategies, Program Management, Fast-paced - Changing Environment, Improve Go-to-Market Effectiveness, Cloud Computing, Bachelor's Degree, 10%-20% Travel If you are a Sr. Market Program Manager - HPC with experience, please read on! Based in Bloomington, we are a Supercomputing and HPC powerhouse looking for a very unique Sr. Market Program Manager. Candidates must have knowledge of the HPC industry or cloud computing. The HPC market is changing like never before with advances in computing, networking, and storage technologies and the explosive growth of applications such as data analytics and machine learning. **What You Will Be Doing** The Market Program Manager - HPC reports to the Director of Marketing Programs & Enablement and develops and implements go-to-market (GTM) activities across multiple platforms. Through the development of a common repeatable messaging framework, he/she will drive a comprehensive and integrated HPC GTM initiative. The Market Program Manager - HPC is often the principal representative for the initiative and must successfully manage expectations, report on progress, modify strategies, and conform to budgetary constraints. **What You Need for this Position** At Least 3-7 Years of experience and knowledge of: - HPC Marketing Initiatives - Supercomputing/HPC Industry - PR - AR - Demand Gen - Sales Enablement - Manage Expectations - Progress - Strategies - Program Management - Fast-paced - Changing Environment - Improve Go-to-Market Effectiveness - Cloud Computing - Bachelor's Degree - 10%-20% Travel **What's In It for You** - Competitive salary (DOE) - Bonus - PTO - Medical - Dental - Vision - 401(k) --You can apply directly by sending your resume to me - katy.bruce@cybercoders.com So, if you are a Sr. Market Program Manager - HPC with experience, please apply today! Applicants must be authorized to work in the U.S. **CyberCoders, Inc is proud to be an Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. **Your Right to Work** – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. *Sr. Market Program Manager - HPC* *MN-Bloomington* *KB2-1466838*
          (USA-AZ-Scottsdale) Data Scientist      Cache   Translate Page   Web Page Cache   
Data Scientist (ML / Predictive Modeling) Data Scientist (ML / Predictive Modeling) - Skills Required - Data Scientist, Machine Learning, Python / Go / Java, Hadoop / MapReduce / Hive / etc. If you are a data scientist with experience, please read on! Based in Scottsdale, we are an Artificial intelligence medical device company focusing on development and delivery of innovative and cost efficient ways to treat a variety of illnesses. Our rising reputation in the medical device marketplace has really made a mark in the industry. Over the recent years, we have seen consistent growth and currently in a very serious search for an experienced data scientist. **Top Reasons to Work with Us** - Salary ($110,000 - $130,000) - Extremely strong benefits (Health, Dental, Vision, 401k, etc.) and PTO - Strong Glass Door rating - Stability (Great product and great brand!) - Dynamic and exciting work environment **What You Will Be Doing** - Working with illness, patient, and historical medical history information to define and implement an FDA approved diagnostic system. - Be a hands-on contributor with the ability to lead a team to create the first of an n-generation solution - Make recommendations on our technical and business direction to grow the company - Build a fast, accurate, and scalable predictive model based on medical data that is available - Define the operating environment in which the system runs and contribute to the overall architecture - Proactively contribute in leadership meetings advising on new opportunities to apply advanced analytic concepts within the healthcare industry - Chose and implement tools that will be used to implement the analytics and machine learning system **What You Need for this Position** 5+ years of experience using quantitative methods to solve complex / analytical problems - Experience with python, java, go, or related - Passion for applied mathematics and statistics - Machine learning - Experience implementing solutions using technologies like Drools, Hadoop, MapReduce, Hive, etc. - Experience in the medical space is a big plus - Formal degree (Strongly preferred MS or PhD) So, if you are a data scientist with experience, please apply today! Applicants must be authorized to work in the U.S. **CyberCoders, Inc is proud to be an Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. **Your Right to Work** – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. *Data Scientist* *AZ-Scottsdale* *DH1-1466855*
          (USA-MA-Boston) Data Scientist/ Engineer -Python, Spark      Cache   Translate Page   Web Page Cache   
Data Scientist/ Engineer -Python, Spark Data Scientist/ Engineer -Python, Spark - Skills Required - Python or Scala, SPARK, Command Line Programming, AWS, Communication Skills, Machine Learning, Big Data If you are a Data Scientist/ Engineer with experience, please read on! **What You Will Be Doing** -Architect, develop and automate large-scale machine learning algorithms -Automate the process for customers to receive reports -Build programs and processes to allow large volume data sets, internal and external, to easily be viewed and analyzed -Research new methodologies and contribute to new delivery options **What You Need for this Position** Experience and knowledge of: - 3 years of commercial use of Python or Scala - 1 year of commercial use of Spark -Experience with Command LIne Programming -Experience with Machine Learning -Oral and written presentation skills So, if you are a Data Scientist/Engineer with experience, please APPLY TODAY! Applicants must be authorized to work in the U.S. **CyberCoders, Inc is proud to be an Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. **Your Right to Work** – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. *Data Scientist/ Engineer -Python, Spark* *MA-Boston* *AR8-1466834*
          Google ‘Launchpad Accelerator’ India Chapter to Nurture Desi Startups      Cache   Translate Page   Web Page Cache   

In a bid to nurture Indian startups working in the fields of Artificial Intelligence (AI) and Machine Learning (ML), Google on Tuesday announced to open the India chapter of its global “Launchpad Accelerator” mentorship programme. The three-month “Launchpad Accelerator” India programme has been designed to grow the AI/ML ecosystem by helping desi startups build scalable [...]

The post Google ‘Launchpad Accelerator’ India Chapter to Nurture Desi Startups appeared first on NewsGram.


          In case you missed it: June 2018 roundup      Cache   Translate Page   Web Page Cache   
In case you missed them, here are some articles from June of particular interest to R users. An animated visualization of global migration, created in R by Guy Abel. My take on the question, Should you learn R or Python for data science? The BBC and Financial Times use R — without post-processing — for publication graphics. "Handling Strings in R", a free e-book by Gaston Sanchez, has been updated. The AI, Machine Learning and Data Science roundup for June 2018. The PYPL Popularity of Languages Index ranks R as the 7th most popular programming language. The "lime" package for...
          CSIS RIST Relativity Project Coordinator - CSIS Lead Investigator - Citi - New Castle, DE      Cache   Translate Page   Web Page Cache   
Diversity is a key business imperative and a source of strength at Citi. Degree in Computer Science, Machine Learning, Information Retrieval or related field,...
From Citi - Fri, 06 Apr 2018 08:12:24 GMT - View all New Castle, DE jobs
          Machine Learning Researcher - PARC, a Xerox company - Palo Alto, CA      Cache   Translate Page   Web Page Cache   
PARC, a Xerox company, is in the Business of Breakthroughs®. We create new business options, accelerate time to market, augment internal capabilities, and...
From PARC, a Xerox company - Sat, 28 Apr 2018 09:57:12 GMT - View all Palo Alto, CA jobs
          Interactive Machine Learning Researcher - PARC, a Xerox company - Palo Alto, CA      Cache   Translate Page   Web Page Cache   
PARC, a Xerox company, is in the Business of Breakthroughs®. We create new business options, accelerate time to market, augment internal capabilities, and...
From PARC, a Xerox company - Sat, 28 Apr 2018 09:57:12 GMT - View all Palo Alto, CA jobs
          Innovation in healthcare: A hacker’s dream and CISO’s nightmare?      Cache   Translate Page   Web Page Cache   

It’s hard not to be excited about artificial intelligence and machine learning in pure technology terms, but applying these innovations to the healthcare sector has the potential to do truly great things for humanity. Just imagine if these technologies could help us to diagnose and treat some of the world’s most pressing health crises. Ground-breaking work in the field of healthcare AI is already being undertaken. For example, researchers at Stanford University last year announced … More

The post Innovation in healthcare: A hacker’s dream and CISO’s nightmare? appeared first on Help Net Security.


          Google Marketing Live 2018: Democratising machine learning adtech      Cache   Translate Page   Web Page Cache   
We detail 3 of the 7 updates at the Google Marketing Live 2018 that concern the execution role of digital-first advertisers and agencies.
          Hoe Apple zich meer dan ooit op Siri en machine learning focust      Cache   Translate Page   Web Page Cache   
Als het op spraakassistent Siri en machine learning aankomt, valt er bij Apple nog genoeg te winnen. Daarom herstructureert het bedrijf zijn teams om hier meer op te focussen.
          SAP Concur- Senior Data Scientist - SAP - Bellevue, WA      Cache   Translate Page   Web Page Cache   
You’ll have access to large B2B data sets from source systems like Marketo, Salesforce.com, and Adobe. 5+ years of professional experience with machine learning...
From SAP - Tue, 27 Mar 2018 23:40:10 GMT - View all Bellevue, WA jobs
          Senior Software Engineer, Data Preparation, Machine Learning - Tableau - Seattle, WA      Cache   Translate Page   Web Page Cache   
What you'll be doing... The Data Preparation team's mission is to help people prepare and curate data for analysis in Tableau. We are looking to solve our...
From Tableau - Mon, 04 Jun 2018 06:05:04 GMT - View all Seattle, WA jobs
          SAP Concur- Senior Data Scientist - SAP - Bellevue, WA      Cache   Translate Page   Web Page Cache   
You’ll have access to large B2B data sets from source systems like Marketo, Salesforce.com, and Adobe. 5+ years of professional experience with machine learning...
From SAP - Tue, 27 Mar 2018 23:40:10 GMT - View all Bellevue, WA jobs
          Google komt met meerdere AI-mogelijkheden voor adverteerders      Cache   Translate Page   Web Page Cache   
Vandaag heeft Google een aantal nieuwe tools onthuld voor marketeers, die de nieuwste ontwikkelingen op het vlak van machine learning integreren in zijn advertentiediensten. Het idee is dat marketeers op die manier advertenties beter kunnen optimaliseren en daarmee een breder bereik hebben op alle platformen. Dat stelt Google vandaag in een uitgebreid artikel over de […]
          Machine Learning Market is estimated to grow at a Robust CAGR of 49.7% during the forecast period 2017 – 2025 and accounts for US$ 39.98 Billion in the year 2025      Cache   Translate Page   Web Page Cache   
The global machine learning market is estimated to grow at a CAGR of 49.7% during the forecast period 2017 – 2025 and accounts for US$ 39.98 Bn in the year 2025. Machine learning is a branch of artificial intelligence that enables machine to develop the ability for self-learning and adaption through experience without being explicitly […]
          Business Intelligence Solution Architect - xiBOSS corporation - Edmonton, AB      Cache   Translate Page   Web Page Cache   
This role is critical to the advancement of master data management, analytics, machine learning and artificial intelligence as Servus builds out its...
From xiBOSS corporation - Tue, 27 Mar 2018 03:56:28 GMT - View all Edmonton, AB jobs
          Google Introduces Responsive Search Ads Which Adapt to Users’ Queries by @MattGSouthern      Cache   Translate Page   Web Page Cache   
Google is introducing a new ad product that uses machine learning to adapt to users’ queries. The post Google Introduces Responsive Search Ads Which Adapt to Users’ Queries by @MattGSouthern appeared first on Search Engine Journal. Read More... Another awesome article by All Facebook - Source: Search Engine Journal - http://feeds.feedburner.com/SearchEngineJournal
          Production Data Being the Oil of the Future      Cache   Translate Page   Web Page Cache   

All about why it is so important to have a clear vision with regard to your objectives when integrating machines and using machine learning procedures.
          Economist - Forecasting - Amazon.com - Seattle, WA      Cache   Translate Page   Web Page Cache   
Experience with machine learning applications. We are breaking fresh ground, pioneering in a program that is crucial for future Amazon growth, and our business...
From Amazon.com - Wed, 27 Jun 2018 07:21:23 GMT - View all Seattle, WA jobs
          VP, Digital Content Programs - Elsevier - Philadelphia, PA      Cache   Translate Page   Web Page Cache   
These could include innovation leveraging machine learning and artificial intelligence technologies. To ensure the needs of the business are understood and...
From RELX Group - Mon, 02 Apr 2018 20:08:16 GMT - View all Philadelphia, PA jobs
          Google Announces Machine Learning-Based Ads Designed for Foot Traffic, Attribution, Personalization      Cache   Translate Page   Web Page Cache   
Google announced on Tuesday a suite of new machine learning-backed ad tools that promise to keep its brand partners happy at a time when digital advertising faces unprecedented brand safety concerns. Among the tools is one explicitly designed to maximize foot traffic.
          Street Fight Daily: Google Announces Huge Local Ad News, How Apple Can Use Maps Rebuild to Compete in Local      Cache   Translate Page   Web Page Cache   
CUTTING-EDGE POSSIBILITIES AND POWER PLAYS IN LOCAL... Google Announces Machine Learning-Based Ads Designed for Foot Traffic, Attribution, Personalization... 10 Ways Apple Can Rebuild Maps to Become an Innovator in Local...
          Apple Psychotherapist Giannandrea Needs To Heal Siri's Split Mind. - Forbes      Cache   Translate Page   Web Page Cache   

Forbes

Apple Psychotherapist Giannandrea Needs To Heal Siri's Split Mind.
Forbes
Apple has put John Giannandrea exactly where he belongs where his first task will be to fix the schizophrenia that plagues Siri that has done nothing but harm to the appeal of Apple's digital assistant. John Giannandrea is a Scottish computer scientist ...
Apple Updates Leadership Page to Include New AI Chief John GiannandreaMac Rumors
Apple's Siri, Machine Learning teams now under control of new hire John Giannandrea [u]AppleInsider
Apple Hands Siri Responsibilities to Executive Poached From GoogleWall Street Journal
The Verge -TechCrunch -BGR -Business Insider
all 29 news articles »

          Comment on Apple combines machine learning and Siri teams under John Giannandrea by JoeHimbo008      Cache   Translate Page   Web Page Cache   
It's embarrassing when a human, much smarter than Siri, doesn't know the difference between its and it's.
          Comment on Apple combines machine learning and Siri teams under John Giannandrea by applecynic      Cache   Translate Page   Web Page Cache   
So after all this time, you finally admit you're not a true Dingler after all? Explain a lot.
          Principal Market Validation Specialist - PTC - Needham, MA      Cache   Translate Page   Web Page Cache   
Advance knowledge and experience with Machine Learning / Data Science / Analytics. Customer Satisfaction focus, both internal and external, with strong...
From PTC - Wed, 16 May 2018 14:29:21 GMT - View all Needham, MA jobs
          Google introduces machine learning ad tools and brands are hot for them      Cache   Translate Page   Web Page Cache   

Responsive search ads, brand lift measurement on YouTube, smart shopping, and more dynamic local ads all announced at Google Marketing Live event.

In the wake of consumer data scandals like Cambridge Analytica, heightened scrutiny for targeted advertising practices, and marketers’ concerns that their ads will appear alongside questionable or offensive content, brands face ever-increasing challenges to effectively reach consumers across the plethora of digital platforms and devices. Google, whose revenue overwhelmingly relies upon marketers not being anxious about digital advertising, addressed a handful of these issues today, unveiling a number of new tools for advertisers, all rooted in machine learning.

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          Banco que errou quase tudo diz que final da Copa será entre Bélgica e Inglaterra      Cache   Translate Page   Web Page Cache   
goldman-preve-final-b9

O grupo financeiro Goldman Sachs, que utiliza machine learning para simular um milhão de variações para ter uma resposta final, afirma que a Copa do Mundo será decidida entre Bélgica e Inglaterra. As previsões do grupo, porém, não parecem muito confiáveis, já que inicialmente apontaram uma final entre Brasil e Alemanha – o primeiro foi eliminado ...

O post Banco que errou quase tudo diz que final da Copa será entre Bélgica e Inglaterra apareceu primeiro em B9.


           Nvidia's new AI takes a one-stop approach to fixing grainy photos       Cache   Translate Page   Web Page Cache   

The Noise2Noise AI image-enhancing technology was developed by researchers from NVIDIA, MIT and Finland’s Aalto University#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

If you've ever taken a photo in low light you've probably encountered the grainy effect that can dilute the finished product. A new AI tool could prove an incredibly easy way to remove this so-called noise, with the ability to automatically produce a clean image after analyzing only the corrupted version.

.. Continue Reading Nvidia's new AI takes a one-stop approach to fixing grainy photos

Category: Digital Cameras

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          Troubling Trends in Machine Learning Scholarship. (arXiv:1807.03341v1 [stat.ML])      Cache   Translate Page   Web Page Cache   

Authors: Zachary C. Lipton, Jacob Steinhardt

Collectively, machine learning (ML) researchers are engaged in the creation and dissemination of knowledge about data-driven algorithms. In a given paper, researchers might aspire to any subset of the following goals, among others: to theoretically characterize what is learnable, to obtain understanding through empirically rigorous experiments, or to build a working system that has high predictive accuracy. While determining which knowledge warrants inquiry may be subjective, once the topic is fixed, papers are most valuable to the community when they act in service of the reader, creating foundational knowledge and communicating as clearly as possible.

Recent progress in machine learning comes despite frequent departures from these ideals. In this paper, we focus on the following four patterns that appear to us to be trending in ML scholarship: (i) failure to distinguish between explanation and speculation; (ii) failure to identify the sources of empirical gains, e.g., emphasizing unnecessary modifications to neural architectures when gains actually stem from hyper-parameter tuning; (iii) mathiness: the use of mathematics that obfuscates or impresses rather than clarifies, e.g., by confusing technical and non-technical concepts; and (iv) misuse of language, e.g., by choosing terms of art with colloquial connotations or by overloading established technical terms.

While the causes behind these patterns are uncertain, possibilities include the rapid expansion of the community, the consequent thinness of the reviewer pool, and the often-misaligned incentives between scholarship and short-term measures of success (e.g., bibliometrics, attention, and entrepreneurial opportunity). While each pattern offers a corresponding remedy (don't do it), we also discuss some speculative suggestions for how the community might combat these trends.


          What is Deep Learning | Deep Learning and its Applications | Deep Learning Tutorial Video - ExcelR      Cache   Translate Page   Web Page Cache   
ExcelR : Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Things you will learn in this video 1)What is deep learning? 2)Deep learning and its applications 3)Which algorithm behind deep learning? 4)How Neural network will work? To buy eLearning course on Data Science click here https://goo.gl/oMiQMw To register for classroom training click here https://goo.gl/UyU2ve To Enroll for virtual online training click here " https://goo.gl/JTkWXo" SUBSCRIBE HERE for more updates: https://goo.gl/WKNNPx For Introduction to Deep Learning Tutorial click here Deep Learning Tutorial For Beginners For Artificial Neural Network Tutorial click here https://goo.gl/a5tAjn #ExcelRSolutions #DeepLearning #Applicationsofdeeplearning #NeuralNetwork #R-programming #DataScienceCertification #DataSciencetutorial #DataScienceforbeginners #DataScienceTraining ----- For More Information: Toll Free (IND) : 1800 212 2120 | +91 80080 09706 Malaysia: 60 11 3799 1378 USA: 001-844-392-3571 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: enquiry@excelr.com Web: www.excelr.com Connect with us: Facebook: https://www.facebook.com/ExcelR/ LinkedIn: https://www.linkedin.com/company/exce... Twitter: https://twitter.com/ExcelrS G+: https://plus.google.com/+ExcelRSolutions
          Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. (arXiv:1807.03369v1 [stat.ML])      Cache   Translate Page   Web Page Cache   

Authors: Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova

Gaussian process regression is a machine learning approach which has been shown its power for estimation of unknown functions. However, Gaussian processes suffer from high computational complexity, as in a basic form they scale cubically with the number of observations. Several approaches based on inducing points were proposed to handle this problem in a static context. These methods though face challenges with real-time tasks and when the data is received sequentially over time. In this paper, a novel online algorithm for training sparse Gaussian process models is presented. It treats the mean and hyperparameters of the Gaussian process as the state and parameters of the ensemble Kalman filter, respectively. The online evaluation of the parameters and the state is performed on new upcoming samples of data. This procedure iteratively improves the accuracy of parameter estimates. The ensemble Kalman filter reduces the computational complexity required to obtain predictions with Gaussian processes preserving the accuracy level of these predictions. The performance of the proposed method is demonstrated on the synthetic dataset and real large dataset of UK house prices.


          Hierarchical Visualization of Materials Space with Graph Convolutional Neural Networks. (arXiv:1807.03404v1 [cond-mat.mtrl-sci])      Cache   Translate Page   Web Page Cache   

Authors: Tian Xie, Jeffrey C. Grossman

The combination of high throughput computation and machine learning has led to a new paradigm in materials design by allowing for the direct screening of vast portions of structural, chemical, and property space. The use of these powerful techniques leads to the generation of enormous amounts of data, which in turn calls for new techniques to efficiently explore and visualize the materials space to help identify underlying patterns. In this work, we develop a unified framework to hierarchically visualize the compositional and structural similarities between materials in an arbitrary material space. We demonstrate the potential for such a visualization approach by showing that patterns emerge automatically that reflect similarities at different scales in three representative classes of materials: perovskites, elemental boron, and general inorganic crystals, covering material spaces of different compositions, structures, and both. For perovskites, elemental similarities are learned that reflects multiple aspects of atom properties. For elemental boron, structural motifs emerge automatically showing characteristic boron local environments. For inorganic crystals, the similarity and stability of local coordination environments are shown combining different center and neighbor atoms. The method could help transition to a data-centered exploration of materials space in automated materials design.


          Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals. (arXiv:1807.03418v1 [cs.SD])      Cache   Translate Page   Web Page Cache   

Authors: Sören Becker, Marcel Ackermann, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek

Interpretability of deep neural networks is a recently emerging area of machine learning research targeting a better understanding of how models perform feature selection and derive their classification decisions. In this paper, two neural network architectures are trained on spectrogram and raw waveform data for audio classification tasks on a newly created audio dataset and layer-wise relevance propagation (LRP), a previously proposed interpretability method, is applied to investigate the models' feature selection and decision making. It is demonstrated that the networks are highly reliant on feature marked as relevant by LRP through systematic manipulation of the input data. Our results show that by making deep audio classifiers interpretable, one can analyze and compare the properties and strategies of different models beyond classification accuracy, which potentially opens up new ways for model improvements.


          Automatic Rumor Detection on Microblogs: A Survey. (arXiv:1807.03505v1 [cs.SI])      Cache   Translate Page   Web Page Cache   

Authors: Juan Cao, Junbo Guo, Xirong Li, Zhiwei Jin, Han Guo, Jintao Li

The ever-increasing amount of multimedia content on modern social media platforms are valuable in many applications. While the openness and convenience features of social media also foster many rumors online. Without verification, these rumors would reach thousands of users immediately and cause serious damages. Many efforts have been taken to defeat online rumors automatically by mining the rich content provided on the open network with machine learning techniques. Most rumor detection methods can be categorized in three paradigms: the hand-crafted features based classification approaches, the propagation-based approaches and the neural networks approaches. In this survey, we introduce a formal definition of rumor in comparison with other definitions used in literatures. We summary the studies of automatic rumor detection so far and present details in three paradigms of rumor detection. We also give an introduction on existing datasets for rumor detection which would benefit following researches in this area. We give our suggestions for future rumors detection on microblogs as a conclusion.


          Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images. (arXiv:1807.03613v1 [cs.CV])      Cache   Translate Page   Web Page Cache   

Authors: Shenghua He, Jie Zheng, Akiko Maehara, Gary Mintz, Dalin Tang, Mark Anastasio, Hua Li

Optical coherence tomography (OCT) can provide high-resolution cross-sectional images for analyzing superficial plaques in coronary arteries. Commonly, plaque characterization using intra-coronary OCT images is performed manually by expert observers. This manual analysis is time consuming and its accuracy heavily relies on the experience of human observers. Traditional machine learning based methods, such as the least squares support vector machine and random forest methods, have been recently employed to automatically characterize plaque regions in OCT images. Several processing steps, including feature extraction, informative feature selection, and final pixel classification, are commonly used in these traditional methods. Therefore, the final classification accuracy can be jeopardized by error or inaccuracy within each of these steps. In this study, we proposed a convolutional neural network (CNN) based method to automatically characterize plaques in OCT images. Unlike traditional methods, our method uses the image as a direct input and performs classification as a single-step process. The experiments on 269 OCT images showed that the average prediction accuracy of CNN-based method was 0.866, which indicated a great promise for clinical translation.


          The evolution of analytics: opportunities and challenges for machine learning in business      Cache   Translate Page   Web Page Cache   
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          Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning. (arXiv:1702.01005v2 [cs.LG] UPDATED)      Cache   Translate Page   Web Page Cache   

Authors: Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri

Principal Component Analysis (PCA) and Kernel Principal Component Analysis (KPCA) are fundamental methods in machine learning for dimensionality reduction. The former is a technique for finding this approximation in finite dimensions and the latter is often in an infinite dimensional Reproducing Kernel Hilbert-space (RKHS). In this paper, we present a geometric framework for computing the principal linear subspaces in both situations as well as for the robust PCA case, that amounts to computing the intrinsic average on the space of all subspaces: the Grassmann manifold. Points on this manifold are defined as the subspaces spanned by $K$-tuples of observations. The intrinsic Grassmann average of these subspaces are shown to coincide with the principal components of the observations when they are drawn from a Gaussian distribution. We show similar results in the RKHS case and provide an efficient algorithm for computing the projection onto the this average subspace. The result is a method akin to KPCA which is substantially faster. Further, we present a novel online version of the KPCA using our geometric framework. Competitive performance of all our algorithms are demonstrated on a variety of real and synthetic data sets.


          Convolutional Normalizing Flows. (arXiv:1711.02255v2 [cs.LG] UPDATED)      Cache   Translate Page   Web Page Cache   

Authors: Guoqing Zheng, Yiming Yang, Jaime Carbonell

Bayesian posterior inference is prevalent in various machine learning problems. Variational inference provides one way to approximate the posterior distribution, however its expressive power is limited and so is the accuracy of resulting approximation. Recently, there has a trend of using neural networks to approximate the variational posterior distribution due to the flexibility of neural network architecture. One way to construct flexible variational distribution is to warp a simple density into a complex by normalizing flows, where the resulting density can be analytically evaluated. However, there is a trade-off between the flexibility of normalizing flow and computation cost for efficient transformation. In this paper, we propose a simple yet effective architecture of normalizing flows, ConvFlow, based on convolution over the dimensions of random input vector. Experiments on synthetic and real world posterior inference problems demonstrate the effectiveness and efficiency of the proposed method.


          Asymmetric Variational Autoencoders. (arXiv:1711.08352v2 [cs.LG] UPDATED)      Cache   Translate Page   Web Page Cache   

Authors: Guoqing Zheng, Yiming Yang, Jaime Carbonell

Variational inference for latent variable models is prevalent in various machine learning problems, typically solved by maximizing the Evidence Lower Bound (ELBO) of the true data likelihood with respect to a variational distribution. However, freely enriching the family of variational distribution is challenging since the ELBO requires variational likelihood evaluations of the latent variables. In this paper, we propose a novel framework to enrich the variational family by incorporating auxiliary variables to the variational family. The resulting inference network doesn't require density evaluations for the auxiliary variables and thus complex implicit densities over the auxiliary variables can be constructed by neural networks. It can be shown that the actual variational posterior of the proposed approach is essentially modeling a rich probabilistic mixture of simple variational posterior indexed by auxiliary variables, thus a flexible inference model can be built. Empirical evaluations on several density estimation tasks demonstrates the effectiveness of the proposed method.


           Nvidia's new AI takes a one-stop approach to fixing grainy photos       Cache   Translate Page   Web Page Cache   

The Noise2Noise AI image-enhancing technology was developed by researchers from NVIDIA, MIT and Finland’s Aalto University#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000

If you've ever taken a photo in low light you've probably encountered the grainy effect that can dilute the finished product. A new AI tool could prove an incredibly easy way to remove this so-called noise, with the ability to automatically produce a clean image after analyzing only the corrupted version.

.. Continue Reading Nvidia's new AI takes a one-stop approach to fixing grainy photos

Category: Digital Cameras

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          Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components. (arXiv:1804.06760v2 [cs.SY] UPDATED)      Cache   Translate Page   Web Page Cache   

Authors: Cumhur Erkan Tuncali, Georgios Fainekos, Hisahiro Ito, James Kapinski

Many organizations are developing autonomous driving systems, which are expected to be deployed at a large scale in the near future. Despite this, there is a lack of agreement on appropriate methods to test, debug, and certify the performance of these systems. One of the main challenges is that many autonomous driving systems have machine learning components, such as deep neural networks, for which formal properties are difficult to characterize. We present a testing framework that is compatible with test case generation and automatic falsification methods, which are used to evaluate cyber-physical systems. We demonstrate how the framework can be used to evaluate closed-loop properties of an autonomous driving system model that includes the ML components, all within a virtual environment. We demonstrate how to use test case generation methods, such as covering arrays, as well as requirement falsification methods to automatically identify problematic test scenarios. The resulting framework can be used to increase the reliability of autonomous driving systems.


          A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks. (arXiv:1805.10726v3 [cs.CV] UPDATED)      Cache   Translate Page   Web Page Cache   

Authors: Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer

Achieving a good measure of model generalization remains a challenge within machine learning. One of the highest-performing learning models is the biological brain, which has unparalleled generalization capabilities. In this work, we propose and evaluate a human-model similarity metric for determining model correspondence to the human brain, as inspired by representational similarity analysis. We evaluate this metric on unsupervised predictive coding networks. These models are designed to mimic the phenomenon of residual error propagation in the visual cortex, implying their potential for biological fidelity. The human-model similarity metric is calculated by measuring the similarity between human brain fMRI activations and predictive coding network activations over a shared set of stimuli. In order to study our metric in relation to standard performance evaluations on cross-domain tasks, we train a multitude of predictive coding models across various conditions. Each unsupervised model is trained on next frame prediction in video and evaluated using three metrics: 1) mean squared error of next frame prediction, 2) object matching accuracy, and 3) our human-model similarity metric. Through this evaluation, we show that models with higher human-model similarity are more likely to generalize to cross-domain tasks. We also show that our metric facilitates a substantial decrease in model search time because the similarity metric stabilizes quickly --- in as few as 10 epochs. We propose that this metric could be deployed in model search to quickly identify and eliminate weaker models.


          Semi-Supervised Clustering with Neural Networks. (arXiv:1806.01547v2 [cs.LG] UPDATED)      Cache   Translate Page   Web Page Cache   

Authors: Ankita Shukla, Gullal Singh Cheema, Saket Anand

Clustering using neural networks has recently demonstrated promising performance in machine learning and computer vision applications. However, the performance of current approaches is limited either by unsupervised learning or their dependence on large set of labeled data samples. In this paper, we propose ClusterNet that uses pairwise semantic constraints from very few labeled data samples (<5% of total data) and exploits the abundant unlabeled data to drive the clustering approach. We define a new loss function that uses pairwise semantic similarity between objects combined with constrained k-means clustering to efficiently utilize both labeled and unlabeled data in the same framework. The proposed network uses convolution autoencoder to learn a latent representation that groups data into k specified clusters, while also learning the cluster centers simultaneously. We evaluate and compare the performance of ClusterNet on several datasets and state of the art deep clustering approaches.


          Data Scientist - Data Labs      Cache   Translate Page   Web Page Cache   
Paritas Recruitment - Data - London - A PhD qualified Data Scientist is wanted to join the innovative Data Lab arm of this well known and market leading financial services firm.... The role requires that you have an extensive background in machine learning and data mining, deep knowledge and experience...
          Machine Learning/AI Engineer - Groom & Associates - Montréal, QC      Cache   Translate Page   Web Page Cache   
Expérience avec tensorflow ou d'autres backends, keras ou autres frameworks, scikit-learn, OpenCV, Pandas. Experience with tensorflow or other backends, keras...
From Groom & Associates - Thu, 07 Jun 2018 14:58:16 GMT - View all Montréal, QC jobs
          Data Scientists / AI & Machine Learning Engineer - IVADO Labs - Montréal, QC      Cache   Translate Page   Web Page Cache   
Experience implementing AI/data science algorithms using one or more of the modern programming languages/frameworks (e.g., Python, Pandas, Scikit-learn,...
From IVADO Labs - Sat, 05 May 2018 03:10:45 GMT - View all Montréal, QC jobs
          Platform Developer, Machine Learning - Kinaxis - Ottawa, ON      Cache   Translate Page   Web Page Cache   
Experience with Machine Learning projects, familiarity with platforms or languages such as scikit-learn, Pandas, NumPy, SciPy, R, TensorFlow....
From Kinaxis - Tue, 10 Jul 2018 14:37:13 GMT - View all Ottawa, ON jobs
          Apple names John Giannandrea as its first Chief of Machine Learning and AI strategy      Cache   Translate Page   Web Page Cache   
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          L’ex Google John Giannandrea ora a capo Siri e Machine Learning in Apple      Cache   Translate Page   Web Page Cache   

John Giannandrea

John Giannandrea, ex responsabile della ricerca di Google che era a capo anche della divisione intelligenza artificiale di Big G, assunto da Apple ad aprile di quest'anno, si occuperà non solo di guidare la divisione Machine Learning dell'azienda ma anche il team che si occupa di Siri con il dirigente che, di fatto, diventa lo "zar" di tutto ciò che riguarda l'intelligenza artificiale in Apple.

A riferire la notizia è il sito TechCrunch, spiegando che le strutture interne che si occupano di Siri e tecnologia Core ML rimarranno immutate ma ora le squadre risponderanno a Giannandrea. La struttura interna di Apple comporta che i team rimarranno probabilmente integrati all'interno dell'organigramma, legati a vari progetti che includono strumenti per sviluppatori, mapping, tecnologie Core OS e altro ancora. Le funzionalità di machine learning on-device con le quali è possibile creare app in grado di prevedere, imparare e diventare via via più "intelligenti", sono ormai pervasive e utilizzate a tutto tondo.

John Giannandrea

J. G. Giannandrea, 53 anni, ha spinto Google a integrare l’I.A. in vari prodotti, incluse ricerche, Gmail e Google Assistant. È arrivato in Big G nel 2010 con l’acquisizione di Metaweb, una startup dove lavorava come chief technology officer. Metaweb era descritto come un “database della conoscenza mondiale”, Knowledge Graph ora inglobato da Google nel motore di ricerca e in grado di rispondere query da parte dell’utente. Sotto la guida di Giannandrea, le ricerche di Google nel settore del machine learning e dell’intelligenza artificiale sono diventate sempre più importanti e fondamentali in un contesto in cui il controllo vocale è ormai sempre più determinante.

Apple nel 2016 ha assunto anche Russ Salakhutdinov, professore della Carnegie Mellon University, mettendolo alla guida di un team che all’interno della Mela si occupa di intelligenza artificiale. Rispetto ad altre aziende, i servizi della multinazionale di Cupertino che sfruttano l’I.A. sono molto attenti alla privacy, un approccio conservatore che finora ha pagato e impedito il verificarsi di problemi come accaduto con lo scandalo Facebook/Cambridge Analytica.

I ricercatori che si occupano dell’addestramento di sistemi di I.A. devono tenere conto di enormi quantità di dati legati spesso agli utenti. Apple è convinta di poter sviluppare meccanismi di machine learning senza compromettere la privacy degli utenti, un “diritto umano” e una “libertà civile” come ha avuto modo di dichiarare più volte Tim Cook.

- Click qui per l'articolo originale con commenti >> L’ex Google John Giannandrea ora a capo Siri e Machine Learning in Apple


          Nvidia sfrutta l’intelligenza artificiale per rimuovere grana e filigrane dalle foto      Cache   Translate Page   Web Page Cache   

rimuovere filigrane

La filigrana che utility e applicazioni di ritocco varie consentono di creare (es. questa per Mac), è utile per aggiungere elementi quali il copyright, proteggere immagini, indicare l'autore di una foto, incorporare elementi vari proteggendo immagini e video realizzati da artisti, designer e fotografi.

Nvidia potrebbe rendere il lavoro di protezione con la filigrana più complicato per via di un meccanismo che sfrutta l'intelligenza artificiale per rimuovere automaticamente artefatti da una fotografia, comprese diciture e filigrane, indipendentemente da quanto queste siano complesse.

Eliminazione rumore

Sfruttando il deep learning, una tecnica di Machine Learning che utilizza algoritmi in grado di simulare il cervello umano per apprendere e svolgere una determinata attività, ricercatori di Nvidia, del MIT e della finlandese Università Aalto, sono riusciti ad addestrare un’intelligenza artificiale a rimuovere rumore digitale, l'effetto grana e altri artefatti visivi dopo uno studio che ha messo a confronto due differenti versioni di una foto. Dopo cinquantamila campioni, l'AI ha capito come funziona il meccanismo, imparando a ripulire le foto meglio di un esperto di fotoritocco con anni di esperienza alle spalle.

https://youtu.be/pp7HdI0-MIo

Vari i possibili campi di applicazione: dalla pulizia automatica del rumore nelle foto di cieli stellati scattate con lunghe esposizioni, fino ad applicazioni nel campo dell'imaging a risonanza magnetica che richiede lunghi lavori di post-produzione per arrivare alla diagnostica partendo da rilevamento, la stadiazione e la localizzazione. Tra gli aspetti negativi di questa tecnica che sfrutta l'intelligenza artificiale, la facilità con la quale sarà possibile rimuovere watermak dalle foto, vanificando lo sforzo di chi spera in una protezione per il proprio lavoro. A questo indirizzo, i dettagli tecnici.

 

- Click qui per l'articolo originale con commenti >> Nvidia sfrutta l’intelligenza artificiale per rimuovere grana e filigrane dalle foto


          Apple names former Google exec to lead AI, Siri development      Cache   Translate Page   Web Page Cache   
(Telecompaper) Apple has named John Giannandrea as chief of machine learning and AI strategy. Giannandrea joined Apple in April from Google and his new position has...
          Principal Market Validation Specialist - PTC - Needham, MA      Cache   Translate Page   Web Page Cache   
Advance knowledge and experience with Machine Learning / Data Science / Analytics. Customer Satisfaction focus, both internal and external, with strong...
From PTC - Wed, 16 May 2018 14:29:21 GMT - View all Needham, MA jobs
          Google Brings Responsive Search Ads With Machine Learning Integration      Cache   Translate Page   Web Page Cache   
Last month, Google announced sweeping changes to the company’s portfolio of advertisement products by streamlining its offerings such as AdWords, and making it easier for businesses and advertisers to choose the most suitable option for their campaigns. At the Google Marketing Live event today, Google has unveiled new ad marketing tools that come with machine learning […]
          Former Google AI Chief Will Now Head Apple’s Machine Learning and AI Strategy      Cache   Translate Page   Web Page Cache   
Apple has appointed Google’s former head of search and AI, John Giannandrea, as its ‘Chief of Machine Learning and AI Strategy’. In his new capacity, Giannandrea will lead a combined Artificial Intelligence (AI) and Machine Learning (ML) team at Apple, and will report directly to the company’s CEO, Tim Cook. The development comes just over three […]
          Production Data Being the Oil of the Future      Cache   Translate Page   Web Page Cache   

All about why it is so important to have a clear vision with regard to your objectives when integrating machines and using machine learning procedures.
          Ingénieur en apprentissage automatique - Groom & Associates - Montréal, QC      Cache   Translate Page   Web Page Cache   
Machine Learning/AI Engineer An international company is looking for Machine Learning/AI Engineers to join their new Montreal office! Title: Machine Learning...
From Groom & Associates - Thu, 07 Jun 2018 17:10:46 GMT - View all Montréal, QC jobs
          Machine Learning/AI Engineer - Groom & Associates - Montréal, QC      Cache   Translate Page   Web Page Cache   
Machine Learning/AI Engineer An international company is looking for Machine Learning/AI Engineers to join their new Montreal office! Title: Machine Learning...
From Groom & Associates - Thu, 07 Jun 2018 14:58:16 GMT - View all Montréal, QC jobs
          While True: Learn() Update Adds Sandbox Mode      Cache   Translate Page   Web Page Cache   
Games which take on programming concepts are tremendously fun for the right kind of person. while True: learn() offers a shot at teaching gamers machine learning concepts through logic puzzles. while True: learn() is still in Early Access, and as such, they’ve just released a pretty huge update. This update adds a new Sandbox mode. […]
          Machine Learning Operations and Analytics Developer      Cache   Translate Page   Web Page Cache   
TX-Plano, We are seeking a Machine Learning Operations and Analytics – Software Developer for a large financial services client in Plano, Texas! For immediate consideration email resume to: RECRUITING@MILLGROUPUSA.COM Must be GC or US Citizen Minimum Experience: Bachelor’s degree or equivalent work experience and additional 2+ years relevant cloud computing or machine learning experience. Working knowledge
          Senior Product Manager, Machine Learning - Whitepages - Seattle, WA      Cache   Translate Page   Web Page Cache   
Whitepages identify verification is also used by leading companies including Jet Blue, Lego and Intuit to prevent fraudulent transactions while delivering great...
From Whitepages - Thu, 17 May 2018 04:02:40 GMT - View all Seattle, WA jobs
          Boston machine learning company establishes Columbus foothold by acquiring AI startup      Cache   Translate Page   Web Page Cache   
Nexosis Inc., a startup that helps corporate software developers plug machine learning into their problem-solving, has been acquired by a complementary Boston company that plans to grow the Columbus office as a strategic Midwest foothold. DataRobot announced the acquisition of the Columbus company on Tuesday. Terms were not disclosed, but it represents an exit for Rev1 Ventures and several out-of-state investors. The 16-person office in Easton Town Center has taken on the DataRobot name – the…
          Technical Program Manager: OneVet - Microsoft - Redmond, WA      Cache   Translate Page   Web Page Cache   
You will work with experts across domains that include business process automation, cloud architecture, machine learning, natural language processing, computer...
From Microsoft - Tue, 20 Mar 2018 16:59:45 GMT - View all Redmond, WA jobs
          Product Manager, Data - PitchBook Data, Inc. - Seattle, WA      Cache   Translate Page   Web Page Cache   
Familiarity with machine learning and natural language processing techniques. Play a pivotal role and collaborate with key stakeholders to understand and ensure...
From PitchBook Data, Inc. - Tue, 08 May 2018 02:41:03 GMT - View all Seattle, WA jobs
          Senior Business Intelligence Developer - Cherwell Software - Seattle, WA      Cache   Translate Page   Web Page Cache   
Exploring machine learning or AI solutions. Maintaining relationships with internal stakeholders and customers....
From Cherwell Software - Fri, 25 May 2018 16:30:53 GMT - View all Seattle, WA jobs
          Front-End Software Engineer (Data Science Team) - Outreach - Seattle, WA      Cache   Translate Page   Web Page Cache   
Deliver innovative ways to visualize insights data analysis and Machine Learning uncover for our users. You will help deliver innovative ways to visualize...
From Outreach - Wed, 23 May 2018 22:31:06 GMT - View all Seattle, WA jobs
          Data Scientist - Experimentation and Causal Inference - Outreach - Seattle, WA      Cache   Translate Page   Web Page Cache   
Developing machine learning models and extracting insights and actions. You understand the entire lifecycle of machine learning product development, from...
From Outreach - Wed, 23 May 2018 22:31:03 GMT - View all Seattle, WA jobs
          Machine Learning Researcher - Flex A.I. - Vancouver, BC      Cache   Translate Page   Web Page Cache   
Keep in mind our wages will only temporarily be at this level until the company skyrockets in growth in the next year, at which point we will likely provide... $70,000 - $120,000 a year
From Indeed - Wed, 06 Jun 2018 03:51:11 GMT - View all Vancouver, BC jobs
          Machine Learning Engineer II - Williams-Sonoma, Inc. - Rocklin, CA      Cache   Translate Page   Web Page Cache   
At Williams Sonoma, we are harnessing the power of machine learning and predictive analytics to discover trends across our business....
From Williams-Sonoma, Inc. - Sat, 19 May 2018 15:16:50 GMT - View all Rocklin, CA jobs
          Machine Learning Engineer II - Williams-Sonoma, Inc. - San Francisco, CA      Cache   Translate Page   Web Page Cache   
At Williams Sonoma, we are harnessing the power of machine learning and predictive analytics to discover trends across our business....
From Williams-Sonoma, Inc. - Sat, 19 May 2018 15:16:50 GMT - View all San Francisco, CA jobs
          Machine Learning Engineer II - Williams-Sonoma, Inc. - San Jose, CA      Cache   Translate Page   Web Page Cache   
At Williams Sonoma, we are harnessing the power of machine learning and predictive analytics to discover trends across our business....
From Williams-Sonoma, Inc. - Sat, 19 May 2018 15:16:52 GMT - View all San Jose, CA jobs
          7/11/2018: Comment & Analysis: Flip side of advances in machine learning      Cache   Translate Page   Web Page Cache   

Marc Andreessen, venture capitalist and one of the pioneers of the world wide web, once declared: “The spread of computers and the internet will put jobs in two categories. People who tell computers what to do, and people who are told by computers what...
          Understanding Algorithms for Reinforcement Learning      Cache   Translate Page   Web Page Cache   

Understanding Algorithms for Reinforcement Learning
Understanding Algorithms for Reinforcement Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 231 MB
Genre: eLearning | Language: English


Reinforcement learning is a type of machine learning which allows decision makers to operate in an unknown environment. In the world of self-driving cars and exploring robots, RL is an important field of study for any student of machine learning.
          Data Architect - Remote West coast - Insight Enterprises, Inc. - Dallas, TX      Cache   Translate Page   Web Page Cache   
R, Azure Machine Learning. 2017 Arizona’s Most Admired Companies (AZ Business Magazine), 2016 Best Places to Work (Phoenix Business Journal)....
From Insight - Mon, 14 May 2018 23:57:10 GMT - View all Dallas, TX jobs
          Cloud Solution Architect - Microsoft - Philadelphia, PA      Cache   Translate Page   Web Page Cache   
Machine Learning (SAS, R, Python). Problem-solving mentality leveraging internal and/or external resources....
From Microsoft - Tue, 17 Apr 2018 18:34:17 GMT - View all Philadelphia, PA jobs
          Apple Updates Leadership Page to Include New AI Chief John Giannandrea - Mac Rumors      Cache   Translate Page   Web Page Cache   

News18

Apple Updates Leadership Page to Include New AI Chief John Giannandrea
Mac Rumors
Apple today updated its Apple Leadership page to include John Giannandrea, who now serves as Apple's Chief of Machine Learning and AI Strategy. Apple hired Giannandrea back in April, stealing him away from Google where he ran the search and ...
Apple's Siri, Machine Learning teams now under control of new hire John Giannandrea [u]AppleInsider
Apple Psychotherapist Giannandrea Needs To Heal Siri's Split Mind.Forbes
Apple Hands Siri Responsibilities to Executive Poached From GoogleWall Street Journal
The Verge -TechCrunch -BGR -Business Insider
all 31 news articles »

          John Giannandrea Hired As Apple’s New AI Chief      Cache   Translate Page   Web Page Cache   

Apple has appointed former Google’s head of search and AI John Giannandrea as it’s new AI Chief. John will be incharge of of Apple’s machine learning division, its Siri team, and the Core ML team. Apple is looking to push its AI efforts in the right direction with Giannandrea’s experience of Machine Intelligence and Research. […]

The post John Giannandrea Hired As Apple’s New AI Chief appeared first on TheAppleGoogle.


          336: Google is taking over the world, 2017 Edition      Cache   Translate Page   Web Page Cache   

We're live from Google I/O 2017! 

The Android Central team of Daniel, Jerry, Andrew, Alex and MrMobile take on all the big announcements from Google's expansive and intimidating developer conference.

Unlike last year, there weren't any huge product announcements, nor new products, but what we got — updates to Android O, Assistant, Home, Photos — and the introduction of Google Lens and standalone Daydream headsets, give us some insight into Google's AI and machine learning future.

 


          The evolution of analytics: opportunities and challenges for machine learning in business      Cache   Translate Page   Web Page Cache   
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          No es un delito que violen a tu avatar en Internet, pero sí que usen tu cara en una película porno que nunca protagonizaste      Cache   Translate Page   Web Page Cache   

Aunque Roblox es anterior a Minecraft, el segundo ya hace varios años que pasó por la derecha al primero. Los dos son juegos de mundo abierto donde los jugadores pueden crear universos, construir cosas, celebrar reuniones multitudinarias y, sobre todo, crear otros juegos. Roblox tiene cerca de 40 millones de usuarios, es muy popular entre los niños y los adolescentes y su calificación de edad es a partir de siete años. Sus creadores se autodenominan "el lugar de juegos número uno para niños".

La hija de Amber Petersen tiene siete años y ha presenciado cómo violaban a su avatar en directo en Roblox. Ocurrió hace pocos días: según cuenta la madre en Facebook, "el dulce e inocente avatar de mi hija estaba siendo violado violentamente por dos hombres. Una observadora se aproximó a ellos y procedió a saltar sobre su cuerpo al final del acto. Luego, los tres personajes se fueron, dejando el avatar de mi hija tirado en el suelo delante de su cara, en mitad del patio". En junio se conoció el caso de otra niña que, también en Roblox, entró a una "habitación del sexo" en la que todos los avatares se encontraban desnudos y practicando posturas sexuales.

Tanto en aquella ocasión como en esta, el juego expulsó de forma permanente a los responsables por incumplir las reglas de conducta. "El acoso y otros comportamientos excluyentes no son aceptables", señala la compañía en su web. También prohíbe el cyberbullying, así como "cualquier acción que pueda poner a los niños en una situación inapropiada o peligrosa".

"No es un delito violar a un avatar", explica Paloma Llaneza, abogada y socia directora de Razona Legaltech, a eldiario.es. "Eso es un personaje de videojuego que no tiene personalidad jurídica independiente, así que esa niña no ha sido violada a través de la violación de su avatar", continúa. A pesar de que los tres personajes cometiesen un acto salvaje, solo eran un conjunto de píxeles. Llaneza recuerda que "un porcentaje muy importante de Internet sucede basado en relaciones contractuales", y pone como ejemplo a Instagram y su política de no permitir pezones: "Es un servicio privado con determinadas condiciones. Si no te gusta, pues te vas. Mientras las normas no vayan en contra del orden público y de alguna legislación específica...".

Una falsa Daisy Ridley creada por deepfakes

Un código para robar deliberadamente tu imagen

A finales del año pasado, un usuario de Reddit llamado deepfakes comenzó a subir vídeos de actrices y otras celebrities en las que se las veía protagonizando películas porno. Obviamente no eran ellas, sino el resultado de unos montajes que creaba para disfrute de sus 90.000 suscriptores. Combinando varias librerías de código abierto utilizadas en el ámbito del machine learning y un algoritmo de su creación, el tipo sentó un precedente: a partir de ese momento, a los montajes de esta índole (no solo los pornográficos) se les empezó a llamar "deepfakes" en todo Internet. El código aún está disponible en GitHub.

"Aquí, la responsabilidad legal esta clara porque los algoritmos suponen la automatización del delito, no es una anomalía inesperada o accidental", explica Marta Peirano, experta en privacidad y seguridad en Internet, a este diario. Deepfakes no hizo los montajes por casualidad, sino a propósito. Por eso, Peirano apunta que esto es el "resultado de un código diseñado para robar deliberada y específicamente la imagen de famosas para hacer pornografía sin su consentimiento". El código es la ley. Por eso, los algoritmos que crean el programa de suplantación "son la herramienta del delito y no su causa", según explica.

En febrero de este año, Reddit eliminó la cuenta de deepfakes y le prohibió el acceso al foro por violar sus reglas. Unas reglas que actualizó con motivo de los montajes en los que el usuario combinaba vídeos porno con clips de YouTube y otras plataformas y bancos de imágenes para sacar las caras de las famosas. Cualquier persona cuyo rostro aparezca en Internet es susceptible de ser suplantada a través de este algoritmo. Y estas son las implicaciones legales que eso tendría.

¿Gal Gadot? No, un montaje creado también por deepfakes

Dos materiales públicos crean vídeos privados

Se trataría de de delitos contra la imagen y la intimidad amparados dentro del Código Civil. En concreto, habría que mirar la Ley Orgánica 1/1982 de protección civil del derecho al honor, a la intimidad personal y familiar y a la propia imagen y comprobar si la persona afectada dio permiso para ese montaje. Llaneza recuerda el porno de la venganza, "novios despechados, acosadores que utilizan fotos de perfiles públicos de mujeres y las unen con imágenes pornográficas". En este caso, habría una demanda de tipo civil y habría que demostrar "que esa alteración de la imagen se ha hecho para afectar a una persona: no sacas a alguien haciendo una película porno porque te cae bien", prosigue la abogada.

"Es complicado -explica Llaneza-. Por un lado tenemos una película porno y por otro, una foto o un vídeo de una actriz que no atenta contra su intimidad, que está perfectamente publicado". Ambas cosas están disponibles en la Red de manera voluntaria por sus protagonistas y son públicas, pero la combinación de estas da como resultado situaciones íntimas: "con lo cual, los delitos contra la intimidad serían todo un reto", continúa.

Pero los artículos 197 y 208 del Código Penal también podrían tener cabida aquí. En el 208 se hace referencia expresa a las injurias, la vía que prefiere la abogada. "Aun así, sería revolucionario y tendría que demostrar que hay una intención de injurias a través de estos montajes", continúa Llaneza, que rechaza en todo momento que los montajes, vistos desde la perspectiva de género, pudieran llegar a considerarse abuso: "Alguien tendría que abusar de esa persona. No lo veo por ningún lado".

Un deepfake en el que aparece Grace Kelly en vez de Nicole Kidman

En EEUU, los expertos tampoco se ponen de acuerdo: los montajes abren un nuevo paradigma legislativo en el que confluyen las imágenes y los vídeos públicos que circulan en Internet con las aspiraciones del que usa el software.

YouTube alberga cientos de ejemplos en los que se intercambian los cuerpos de numerosos políticos por las caras de otros famosos. En Reddit también hay un hilo kilométrico donde se listan algunos. Existen decenas de programas en Internet, como Face2Face, que sirven para el mismo propósito. Hay páginas web pornográficas dedicadas a ello. El problema vendrá cuando no sepamos distinguir lo que es real de lo que no. Hoy por hoy, según Llaneza, "nuestro sistema no está preparado para esto".


          Solution Architect - Data & Analytics - Neudesic LLC - Seattle, WA      Cache   Translate Page   Web Page Cache   
Machine Learning Solutions:. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in...
From Neudesic LLC - Mon, 02 Jul 2018 10:04:49 GMT - View all Seattle, WA jobs
          Designated Support Engineer - 1st Shift - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Thu, 14 Jun 2018 20:31:57 GMT - View all Lehi, UT jobs
          Pure Support Escalation Engineer - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Fri, 08 Jun 2018 18:26:33 GMT - View all Lehi, UT jobs
          Technical Support Engineer II/III - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Fri, 08 Jun 2018 06:19:02 GMT - View all Lehi, UT jobs
          Sr. Manager Business Critical Support - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Mon, 07 May 2018 18:40:34 GMT - View all Lehi, UT jobs
          Senior Technical Writer - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Tue, 01 May 2018 20:34:01 GMT - View all Lehi, UT jobs
          Technical Support Engineer II - NAS/ Storage - Pure Storage - Lehi, UT      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Mon, 02 Apr 2018 18:29:48 GMT - View all Lehi, UT jobs
          Sr. BI Engineer - Republic Finance - Plano, TX      Cache   Translate Page   Web Page Cache   
Continuously explore and recommend new BI technology, including those powered by machine learning, A.I., and natural language processing, to improve the value...
From Republic Finance - Wed, 25 Apr 2018 16:14:02 GMT - View all Plano, TX jobs
          National Partner Technical Manager - Pure Storage - Dallas, TX      Cache   Translate Page   Web Page Cache   
Be a Pure Storage technical expert and in areas of Storage, Artificial Intelligence, Big Data, SDN, SaaS solutions, Networking, Dev-ops, Machine Learning,...
From Pure Storage - Fri, 11 May 2018 22:35:36 GMT - View all Dallas, TX jobs
          Solution Architect - Data & Analytics - Neudesic LLC - New York, NY      Cache   Translate Page   Web Page Cache   
Machine Learning Solutions:. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in...
From Neudesic LLC - Sat, 16 Jun 2018 09:58:39 GMT - View all New York, NY jobs
          Regional Marketing Manager- East - Pure Storage - New York, NY      Cache   Translate Page   Web Page Cache   
The world is experiencing a technological revolution driven by AI, machine learning, virtual reality, quantum computing and self-driving cars -- all of which...
From Pure Storage - Fri, 04 May 2018 16:34:39 GMT - View all New York, NY jobs
          Research Scientist, Quantum Computing Applications - LOCKHEED MARTIN CORPORATION - Louisville, CO      Cache   Translate Page   Web Page Cache   
Experience in design and development of algorithms and applications for machine learning using quantum and/or classical computing....
From Lockheed Martin Corporation - Mon, 02 Jul 2018 04:09:30 GMT - View all Louisville, CO jobs
          Senior Software Engineer -- Rails, Python, React      Cache   Translate Page   Web Page Cache   
CA-Santa Cruz, If you are a passionate Senior Full Stack Developer and want to get in on the ground floor, with an exciting and game-changing start-up, please read on! You must have experience leading agile development teams to be considered for the role. Based in Santa Cruz with employee's located from coast to coast, we are an exciting start-up in the cannabis space that uses data and machine learning to provi
          Royal Holloway, University of London      Cache   Translate Page   Web Page Cache   
Royal Holloway, University of London รอยัลฮอลโลเวย์เป็นหนึ่งในสถาบันที่มีการวิจัยมากที่สุดในสหราชอาณาจักรและได้รับการยอมรับในระดับสากลสำหรับการวิจัยและการสอนที่ยอดเยี่ยมในด้านศิลปะวิทยาศาสตร์สังคมศาสตร์และการจัดการ เกี่ยวกับรอยัลฮอลโลเวย์ เป็นอันดับที่ 19 ในสหราชอาณาจักรโดยรวมและอันดับที่ 129 ของโลกในการจัดอันดับมหาวิทยาลัยของโลกในการจัดอันดับมหาวิทยาลัยในระดับอุดมศึกษาในปี 2015-16 มหาวิทยาลัยชั้นนำในสหราชอาณาจักรสำหรับ 'International Outlook' โดยคำนึงถึงประชากรนักศึกษาหลายชาติและมุมมองในฐานะมหาวิทยาลัยทั่วโลก เป็นชุมชนที่มีความหลากหลายทางวัฒนธรรมจำนวน 9,000 คนจากกว่า 130 ประเทศ หนึ่งในมหาวิทยาลัยที่สวยที่สุดในโลกตั้งอยู่เพียง 19 ไมล์จากใจกลางกรุงลอนดอน ได้รับการจัดอันดับว่าเป็นมหาวิทยาลัยที่ปลอดภัยที่สุดในลอนดอน (Complete University Guide 2013) รับประกันสถานที่ในหอพักสำหรับนักศึกษาระดับปริญญาตรีปีแรกที่เลือก Royal Holloway เป็นทางเลือกของ UCAS ของ บริษัท Royal Holloway is internationally recognised for excellence in the following subject areas: Management and Economics Arts and Social Sciences Science Progression Degrees Royal Holloway ยินดีรับใบสมัครจาก  นักศึกษาของON CAMPUS London ที่สำเร็จการศึกษาหลักสูตร Foundation Program ทีมการศึกษาระดับอุดมศึกษาของเราจะแนะนำคุณในการทำใบสมัครเข้าเรียนในมหาวิทยาลัย คลิกที่ลิงค์ด้านล่างเพื่อดูหลายองศาที่รอยัลฮอลโลเวย์ Undergraduate degrees Business, Economics, Finance and Management A Modern Languages and Management  BSc Economics  BSc Economics and Management  BSc Economics and Mathematics BSc Economics with French  BSc Economics with German  BSc Economics with Italian  BSc Economics with Music  BSc Economics with Political Studies  BSc Economics with Spanish  BSc Economics, Politics and International Relations  BSc Finance and Mathematics BSc Financial and Business Economics  BSc Management  BSc Management (Year in Business)  BSc Management with Accounting  BSc Management with Accounting (Year in Business)  BSc Management with Entrepreneurship  BSc Management with Entrepreneurship (Year in Business)  BSc Management with Human Resources  BSc Management with Human Resources (Year in Business)  BSc Management with Information Systems  BSc Management with Information Systems (Year in Business)  BSc Management with International Business  BSc Management with International Business (Year in Business)  BSc Management with Marketing  BSc Management with Marketing (Year in Business)  BSc Management with Sustainability  BSc Management with Sustainability (Year in Business)  Engineering and Sciences BEng Electronic Engineering  BEng Electronic Engineering with a Year in Industry  MEng Electronic Engineering  MEng Electronic Engineering with a year in industry  BA Mathematics and Music BSc Applied Psychology  BSc Astrophysics BSc Computer Science  BSc Computer Science - Artificial Intelligence  BSc Computer Science (Information Security)  BSc Computer Science (Year in Industry)  BSc Computer Science and Mathematics BSc Computer Science Artificial Intelligence (Year in Industry)  BSc Computer Science Information Security (Year in Industry) BSc Computing and Business BSc Experimental Physics BSc Management with Mathematics BSc Mathematical Studies BSc Mathematics BSc Mathematics and Management BSc Mathematics and Physics BSc Mathematics with French BSc Mathematics with German BSc Mathematics with Italian BSc Mathematics with Management BSc Mathematics with Philosophy BSc Mathematics with Spanish BSc Mathematics with Statistics BSc Physics BSc Physics with Music BSc Physics with Particle Physics BSc Physics with Philosophy BSc Software Engineering BSc Software Engineering (Year in Industry) BSc Theoretical Physics MSci Astrophysics Msci Computer Science Artificial Intelligence Msci Computer Science Artificial Intelligence (Year in Industry) Msci Computer Science Information Security Msci Computer Science Information Security (Year in Industry) MSci Experimental Physics MSci Mathematics MSci Mathematics and Physics MSci Physics MSci Physics with Particle Physics MSci Software Engineering MSci Software Engineering (Year in Industry) MSci Theoretical Physics Humanities and Social Sciences BA Ancient and Medieval History BA Ancient History BA Ancient History and Philosophy BA Ancient History with Philosophy BA Classical Studies BA Classical Studies and Comparative Literature and Culture BA Classical Studies and Drama BA Classical Studies and Italian BA Classical Studies and Philosophy BA Classical Studies and Spanish BA Classical Studies with Philosophy BA Classics BA Classics and Philosophy BA Classics with Philosophy BA Comparative Literature and Culture  BA Comparative Literature and Culture and Drama  BA Comparative Literature and Culture and Visual Cultures BA Comparative Literature and Culture with International Film  BA Comparative Literature and Culture with Philosophy  BA Comparative Literature and Culture with Visual Arts BA Digital Media Communications  BA Drama & Dance  BA Drama and Music  BA Drama and Philosophy  BA Drama and Theatre Studies  BA Drama with Philosophy  BA English and Classical Studies  BA English and Creative Writing  BA English and Drama  BA English and Film Studies  BA English and History  BA English and Latin  BA English and Philosophy BA English with Philosophy  BA European Studies - French  BA European Studies - German  BA European Studies - Italian  BA European Studies - Spanish  BA European Studies: Politics, Society & Culture BA Film Studies  BA Film Studies with Philosophy  BA Film, Television and Digital Production (formerly BA Media Arts)  BA French - 3 years BA French and Greek BA French and Latin BA French and Visual Cultures BA French with International Relations BA French with Political Studies BA French with Visual Arts BA German and Greek BA German and Visual Cultures BA Greek BA History BA History and International Relations BA History and Music BA History and Philosophy BA History and Spanish BA History with an International Year BA History with Spanish BA International Relations  BA Italian and Visual Cultures BA Latin BA Liberal Arts  BA Modern History and Politics BA Multilingual Studies with Visual Arts  BA Music and Philosophy BA Music with French  BA Music with German BA Music with Italian  BA Music with Philosophy  BA Music with Political Studies  BA Music with Spanish  BA Politics  BA Politics and International Relations  BA Politics and International Relations and Philosophy  BA Politics with Philosophy  BA Politics, Philosophy and Economics (PPE)  BA Spanish and Visual Cultures BA Spanish with International Relations BA Spanish with Visual Arts BMus Music  BSc Psychology, Clinical and Cognitive Neuroscience  BSc Psychology, Clinical Psychology and Mental Health  BSc Psychology, Development and Developmental Disorders  LLB Law  Life Sciences BA Geography  BA Human Geography  BSc Biochemistry BSc Biology BSc Biomedical Sciences BSc Criminology and Psychology BSc Criminology and Sociology BSc Ecology and Environment BSc Environmental Geology  BSc Environmental Geology with a Year in Industry  BSc Geography  BSc Geology  BSc Geology with a Year in Industry  BSc Medical Biochemistry BSc Molecular Biology BSc Petroleum Geology  BSc Physical Geography  BSc Physical Geography and Geology BSc Psychology  BSc Zoology MSci Environmental Geoscience  MSci Environmental Geoscience with a Year in Industry  MSci Environmental Geoscience with an International Year  MSci Geoscience  MSci Geoscience with a Year in Industry  MSci Geoscience with a Year of International Study  Postgraduate degrees Business, Economics, Finance and Management MA Marketing MSc Business Information Systems MSc Economics MSc Entrepreneurship MSc Finance MSc International Accounting MSc International Human Resource Management MSc International Management MSc Project Management MSc Sustainability and Management Engineering and Sciences MSc by Research Computer Science MSc by Research Physics MSc Computational Finance MSc Computational Finance (Year in Industry) MSc Data Science and Analytics MSc Data Science and Analytics (Year in Industry) MSc Machine Learning MSc Machine Learning (Year in Industry) MSc Mathematics for Applications MSC Physics (EuroMasters) Humanities and Social Sciences MA Ancient History MA Applied and Participatory Theatre MA by Research Classical Reception MA by Research Comparative Literature and Culture MA by Research French MA by Research German MA by Research Hispanic Studies MA by Research History MA by Research Italian MA Classical Art and Archaeology MA Classics MA Consumption, Culture and Marketing MA Contemporary Performance Practices MA Creative Writing MA Crusader Studies MA Documentary by Practice MA English Literature MA History MA History: Hellenic Studies MA Holocaust Studies MA International Broadcasting MA Late Antique and Byzantine Studies MA Medieval Studies MA Modernism and Contemporary Literature MA Playwriting MA Producing Film and Television MA Public History MA Screenwriting for Television and Film (Retreat) (April start) MA Shakespeare MA Victorian Literature, Art and Culture MMus Advanced Musical Studies MSC Applied Social Psychology MSc Contemporary Political Theory MSc Elections, Public Opinion and Parties MSc Geopolitics and Security MSc International Public Policy MSc International Relations MSc Media, Power and Public Affairs MSc Politics MSc Practising Sustainable Development MSc Practising Sustainable Development (Information and Communication Technologies for Development) MSc Transnational Security Studies Life Sciences MA Cultural Geography MSc by Research Biological Sciences MSc by Research Earth Sciences MSc Environmental Diagnosis and Management MSc Internet of Things MSc Petroleum Geoscience (Basin Evolution or Tectonics) MSc Quaternary Science Entry requirements Undergraduate Foundation Programme English requirements 5.0 IELTS or equivalent, with 5.0 in writing and no single element below 4.5, for 3-term UFP * * Extended programmes are available if you do not yet have the required English language level. This programme last 4 terms and include English language modules (ELM) followed by the 3 terms of Foundation required to apply for entry to the first year of your undergraduate degree. Academic requirements THAILAND Completion of Mathayom (MAW) 6 with GPA 2.5 University of London International Foundation Programme English requirements IELTS 5.5 (minimum 5.5 in writing, with no other elements less than 5.0) Academic requirements THAILAND Mathayom 6 GPA 3.0 International Year One English requirements From 5.0 IELTS or equivalent for 4 term IY1* From 5.5 IELTS or equivalent for 3 term IY1* * Your application will be assessed and you may be offered a 3 or 4 term programme depending on your English level and academic background. Academic requirements THAILAND Successful completion of Mathayom (MAW) 6 plus evidence of a year's further study with pass grades Master's Foundation Programme English requirements 3 terms – from 5.5 IELTS or equivalent, with no single element less than 5.5 2 terms – from 6.0 IELTS or equivalent, with no single element less than 6.0 *Extended Programmes are available if you do not yet have the required English language level. These programmes last 4 or 5 terms and include English language modules (ELM) followed by the 3 terms of Foundation required to apply for entry to the first year of your Master’s degree.  Academic Entry Requirements To study this programme you will need to have successfully completed your Bachelor's degree or equivalent, from a recognised university. University of London Graduate Diploma English requirements 3 terms - September startEnglish level IELTS 6.0 or equivalent, with no single element less than 5.5 4 terms - June start English level IELTS 5.5 or equivalent, with no single element less than 5.5 The 4 term extended programme is available if you do not yet have the required English language level. This programme includes English language modules (ELM) followed by the 3 terms of Foundation.  Academic Entry Requirements To be eligible for this Graduate Diploma Programme you must have: an acceptable bachelor degree; or an acceptable Level 5 or Level 6 award (such as an HND or Graduate Certificate) provided this is at least 1 year full time in duration. In addition applicants must submit evidence of at least 2 years relevant work experience; or  an acceptable Master’s degree (or any other acceptable/appropriately accredited Level 7 award) provided this is at least 1 year full time in duration; In addition to one of the above, you must demonstrate competence in Mathematics at least equivalent to UK GCSE/GCE ‘O’ level at grade C or above.  Thai Study Abroad Consultant  ให้บริการสมัครเรียน แนะนำการหางาน จัดหาที่พัก ทำวีซ่านักเรียน ฟรี Tel:02-245-5845 Hotline: 061-656-4159 Email:info@thaistudyabroad.com
          Google will offer machine learning tools to advertisers      Cache   Translate Page   Web Page Cache   
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          Research Scientist - Machine Learning - Intel - Hillsboro, OR      Cache   Translate Page   Web Page Cache   
Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units. Inside this Business Group....
From Intel - Wed, 04 Jul 2018 11:32:10 GMT - View all Hillsboro, OR jobs
          Research Engineer Machine Learning - Intel - Hillsboro, OR      Cache   Translate Page   Web Page Cache   
Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units....
From Intel - Fri, 08 Jun 2018 10:27:28 GMT - View all Hillsboro, OR jobs
          Insurance General Manager - DataRobot - Boston, MA      Cache   Translate Page   Web Page Cache   
DataRobot is defining a category called automated machine learning and has already raised more than $122M from the likes of NEA, Intel Ventures and New York...
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          Uncertainty Quantification and Machine Learning Postdoc - Los Alamos National Laboratory - Los Alamos, NM      Cache   Translate Page   Web Page Cache   
The short drive to work includes stunning views of the Valles Caldera as well as the Sangre de Cristo mountains....
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          Data Scientist/ Engineer -Python, Spark      Cache   Translate Page   Web Page Cache   
MA-Boston, If you are a Data Scientist/ Engineer with experience, please read on! What You Will Be Doing -Architect, develop and automate large-scale machine learning algorithms -Automate the process for customers to receive reports -Build programs and processes to allow large volume data sets, internal and external, to easily be viewed and analyzed -Research new methodologies and contribute to new delivery
          Machine learning to assist in building muscle - EurekAlert (press release)      Cache   Translate Page   Web Page Cache   

EurekAlert (press release)

Machine learning to assist in building muscle
EurekAlert (press release)
Sarcopenia (from Greek "flesh poverty"), is one of the major age-related processes and involves the loss of skeletal muscle and its function. Age-associated muscle wasting remains an important clinical challenge that impacts hundreds of millions of ...

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          Electrical Engineering Attorney in Seattle, WA - USA-WA-Seattle      Cache   Translate Page   Web Page Cache   
Patent Prosecution Team Attorney Candidate with Ph.D or Master’s degree in physics or electrical engineering, and with experience in optics, sensors, image processing, and machine learning is preferred. Must have a USPTO Reg. No. and possess a degree in Computer Engineering, Electrical Engineering, Physics, or a related field. California or Washington bar members are preferred. 3-10 years of experience in patent prosecution are preferred, with aptitude for portfolio development and clien....
          Electrical Engineering Attorney in San Diego, CA - USA-CA-San Diego      Cache   Translate Page   Web Page Cache   
Patent Prosecution Team Attorney Prefer Ph.D or Master’s degree in physics or electrical engineering, as well as candidates with experience in optics, sensors, image processing, and machine learning. Must have a USPTO Reg. No. and possess a degree in Computer Engineering, Electrical Engineering, Physics, or a related field. California or Washington bar members are preferred. 3-10 years of experience in patent prosecution are preferred, with aptitude for portfolio development and client c....
          Electrical Engineering Attorney in Walnut Creek, CA - USA-CA-Walnut Creek      Cache   Translate Page   Web Page Cache   
Patent Prosecution Team Attorney Prefer Ph.D or Master’s degree in physics or electrical engineering, as well as candidates with experience in optics, sensors, image processing, and machine learning. Must have a USPTO Reg. No. and possess a degree in Computer Engineering, Electrical Engineering, Physics, or a related field. California or Washington bar members are preferred. 3-10 years of experience in patent prosecution are preferred, with aptitude for portfolio development and client c....
          Electrical Engineering Attorney in Menlo Park, CA - USA-CA-Menlo Park      Cache   Translate Page   Web Page Cache   
Patent Prosecution Team Attorney Prefer Ph.D or Master’s degree in physics or electrical engineering, as well as candidates with experience in optics, sensors, image processing, and machine learning. Must have a USPTO Reg. No. and possess a degree in Computer Engineering, Electrical Engineering, Physics, or a related field. California or Washington bar members are preferred. 3-10 years of experience in patent prosecution are preferred, with aptitude for portfolio development and client c....
          Electrical Engineering Attorney in San Francisco, CA - USA-CA-San Francisco      Cache   Translate Page   Web Page Cache   
Patent Prosecution Team Attorney Prefer Ph.D or Master’s degree in physics or electrical engineering, as well as candidates with experience in optics, sensors, image processing, and machine learning. Must have a USPTO Reg. No. and possess a degree in Computer Engineering, Electrical Engineering, Physics, or a related field. California or Washington bar members are preferred. 3-10 years of experience in patent prosecution are preferred, with aptitude for portfolio development and client c....
          Computer Engineering Attorney / Computer Science Attorney in Seattle, WA - USA-WA-Seattle      Cache   Translate Page   Web Page Cache   
Patent Prosecution Associate Candidate with Ph.D or Master’s degree in physics or electrical engineering, as well as candidates with experience in optics, sensors, image processing, and machine learning is preferred. Must have 2-4 years of experience in patent prosecution are preferred, with aptitude for portfolio development and client counseling a plus. Applicant must have a USPTO Reg. No. and possess a degree in Computer Engineering, Computer Science, Electrical Engineering, Physics, ....
          Computer Engineering Attorney / Computer Science Attorney in San Diego, CA - USA-CA-San Diego      Cache   Translate Page   Web Page Cache   
Patent Prosecution Associate Candidate with Ph.D or Master’s degree in physics or electrical engineering, as well as candidates with experience in optics, sensors, image processing, and machine learning is preferred. Must have 2-4 years of experience in patent prosecution are preferred, with aptitude for portfolio development and client counseling a plus. Applicant must have a USPTO Reg. No. and possess a degree in Computer Engineering, Computer Science, Electrical Engineering, Physics, ....
          Computer Engineering Attorney / Computer Science Attorney in Walnut Creek, CA - USA-CA-Walnut Creek      Cache   Translate Page   Web Page Cache   
Patent Prosecution Associate Candidate with Ph.D or Master’s degree in physics or electrical engineering, as well as candidates with experience in optics, sensors, image processing, and machine learning is preferred. Must have 2-4 years of experience in patent prosecution are preferred, with aptitude for portfolio development and client counseling a plus. Applicant must have a USPTO Reg. No. and possess a degree in Computer Engineering, Computer Science, Electrical Engineering, Physics, ....
          Computer Engineering Attorney / Computer Science Attorney in Menlo Park, CA - USA-CA-Menlo Park      Cache   Translate Page   Web Page Cache   
Patent Prosecution Associate Candidate with Ph.D or Master’s degree in physics or electrical engineering, as well as candidates with experience in optics, sensors, image processing, and machine learning is preferred. Must have 2-4 years of experience in patent prosecution are preferred, with aptitude for portfolio development and client counseling a plus. Applicant must have a USPTO Reg. No. and possess a degree in Computer Engineering, Computer Science, Electrical Engineering, Physics, ....
          Computer Engineering Attorney / Computer Science Attorney in San Francisco, CA - USA-CA-San Francisco      Cache   Translate Page   Web Page Cache   
Patent Prosecution Associate Candidate with Ph.D or Master’s degree in physics or electrical engineering, as well as candidates with experience in optics, sensors, image processing, and machine learning is preferred. Must have 2-4 years of experience in patent prosecution are preferred, with aptitude for portfolio development and client counseling a plus. Applicant must have a USPTO Reg. No. and possess a degree in Computer Engineering, Computer Science, Electrical Engineering, Physics, ....
          The Future of Career in AI – A Guide      Cache   Translate Page   Web Page Cache   

An IT or computer engineering student who starts college this year will graduate into a radically different job market in four years. Internet of Things (IoT), machine learning (ML) and artificial intelligence (AI) are some of the top technological trends that will drive business for information technology organizations in advanced markets. Therefore, it is imperative […]

The post The Future of Career in AI – A Guide appeared first on The Learning Catalyst.


          Machine learning : déjà une version 0.3 pour le framework ML.Net      Cache   Translate Page   Web Page Cache   
Nouvelle préversion pour le framework open source (licence MIT) et multiplateforme de Microsoft, dédié au machine learning. La mouture 0.3 autorise désormais l’export au format ONNX (largement utilisé par Face...
          Apptio Introduces Machine Learning And Intelligent Analytics To Automate And Simplify TBM Across U.S. Federal Agencies      Cache   Translate Page   Web Page Cache   

Click to view a price quote on APTI.

          Senior Software Engineer, Data Preparation, Machine Learning - Tableau - Seattle, WA      Cache   Translate Page   Web Page Cache   
What you'll be doing... The Data Preparation team's mission is to help people prepare and curate data for analysis in Tableau. We are looking to solve our...
From Tableau - Mon, 04 Jun 2018 06:05:04 GMT - View all Seattle, WA jobs
          QA Engineer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 08 Jun 2018 16:35:13 GMT - View all New York, NY jobs
          Data Scientist - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Tue, 05 Jun 2018 16:15:49 GMT - View all New York, NY jobs
          UI Engineer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Sun, 27 May 2018 20:27:03 GMT - View all New York, NY jobs
          AI Conversation Designer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Sat, 14 Apr 2018 06:15:32 GMT - View all New York, NY jobs
          Recruiting Sourcer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 23 Mar 2018 06:21:11 GMT - View all New York, NY jobs
          People Analytics - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 23 Mar 2018 06:21:08 GMT - View all New York, NY jobs
          Recruiter/Talent Acquisition - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 23 Mar 2018 06:20:53 GMT - View all New York, NY jobs
          Product Owner, Talent Community Platform - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 16 Mar 2018 04:28:45 GMT - View all New York, NY jobs
          Back End Engineer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Sun, 03 Jun 2018 06:21:49 GMT - View all New York, NY jobs
          Apple hire's former Google employee John Giannandrea to head Core ML and Siri teams      Cache   Translate Page   Web Page Cache   
John Giannandrea will oversee the strategy for AI and machine learning across Apple.
          Research Scientist - Varian Medical Systems - Regina, SK      Cache   Translate Page   Web Page Cache   
Build and optimize machine learning models for the automation of treatment planning for radiation therapy. When you join Varian, you’re joining an organization...
From Varian Medical Systems - Tue, 05 Jun 2018 18:08:57 GMT - View all Regina, SK jobs
          SAP Concur- Senior Data Scientist - SAP - Bellevue, WA      Cache   Translate Page   Web Page Cache   
You’ll have access to large B2B data sets from source systems like Marketo, Salesforce.com, and Adobe. 5+ years of professional experience with machine learning...
From SAP - Tue, 27 Mar 2018 23:40:10 GMT - View all Bellevue, WA jobs
          Machine Learning Developer - Coveo - Montréal, QC      Cache   Translate Page   Web Page Cache   
Become an AI guru. Blown away by the latest news about Netflix recommendations algorithms?...
From Coveo - Wed, 20 Jun 2018 20:06:26 GMT - View all Montréal, QC jobs
          Sr Director, Growth Marketing Technology - eBay Inc. - Bellevue, WA      Cache   Translate Page   Web Page Cache   
Further, the Marketing Tech Leader will apply the latest data analysis and machine learning technologies to innovate applications in both BI analysis and...
From eBay Inc. - Fri, 01 Jun 2018 08:04:49 GMT - View all Bellevue, WA jobs
          Software Engineer - Machine Learning - Convoy - Seattle, WA      Cache   Translate Page   Web Page Cache   
Today, we use machine learning to figure out freight prices, shipment relevance for carriers, auction bidding strategy, and other internal processes....
From Convoy - Sat, 19 May 2018 10:13:22 GMT - View all Seattle, WA jobs
          Sr.QAE - Amazon.com - Bellevue, WA      Cache   Translate Page   Web Page Cache   
Build Products for amazon external facing and internal facing systems. The team uses various content classification and machine learning algorithms for solving...
From Amazon.com - Mon, 04 Jun 2018 19:20:38 GMT - View all Bellevue, WA jobs
          Business Intelligence Engineer - Amazon.com - Seattle, WA      Cache   Translate Page   Web Page Cache   
Understanding of Statistical Analysis, modeling and Machine Learning techniques. Do you want to work on a Cloud business that is growing multiple fold annually?...
From Amazon.com - Thu, 05 Jul 2018 07:26:48 GMT - View all Seattle, WA jobs
          Software Development Engineer - Amazon.com - Seattle, WA      Cache   Translate Page   Web Page Cache   
At least 1 year experience in training machine learning models or developing machine learning infrastructure....
From Amazon.com - Tue, 03 Jul 2018 19:19:30 GMT - View all Seattle, WA jobs
          Machine Learning Engineer, Performance Advertising - Amazon.com - Seattle, WA      Cache   Translate Page   Web Page Cache   
Our goals are to help buyers discover new products they love, be the most efficient way for Advertisers to meet their business objectives and continue to build...
From Amazon.com - Fri, 29 Jun 2018 07:19:39 GMT - View all Seattle, WA jobs
          Machine Learning Researcher - Flex A.I. - Vancouver, BC      Cache   Translate Page   Web Page Cache   
Keep in mind our wages will only temporarily be at this level until the company skyrockets in growth in the next year, at which point we will likely provide... $70,000 - $120,000 a year
From Indeed - Wed, 06 Jun 2018 03:51:11 GMT - View all Vancouver, BC jobs
          C/C++ Software Engineer/Machine Learning - Mobica - Kraków, małopolskie      Cache   Translate Page   Web Page Cache   
I hereby agree for processing of personal data by Mobica Limited with headquarter in Crown House, Manchester Road, Wilmslow, UK, SK9 1BH whose representative is...
Od Mobica - Wed, 20 Jun 2018 15:06:19 GMT - Pokaż wszystkie Kraków, małopolskie oferty pracy
          Apple Updates Leadership Page to Include New AI Chief John Giannandrea - Mac Rumors      Cache   Translate Page   Web Page Cache   

Firstpost

Apple Updates Leadership Page to Include New AI Chief John Giannandrea
Mac Rumors
Apple today updated its Apple Leadership page to include John Giannandrea, who now serves as Apple's Chief of Machine Learning and AI Strategy. Apple hired Giannandrea back in April, stealing him away from Google where he ran the search and ...
Apple's Siri, Machine Learning teams now under control of new hire John Giannandrea [u]AppleInsider
Apple's new AI chief now oversees Siri, Core ML, and machine learning teamsThe Verge
Apple Hands Siri Responsibilities to Executive Poached From GoogleWall Street Journal
Forbes -TechCrunch -Tom's Guide -BGR
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          Stack Abuse: The Naive Bayes Algorithm in Python with Scikit-Learn      Cache   Translate Page   Web Page Cache   

When studying Probability & Statistics, one of the first and most important theorems students learn is the Bayes' Theorem. This theorem is the foundation of deductive reasoning, which focuses on determining the probability of an event occurring based on prior knowledge of conditions that might be related to the event.

The Naive Bayes Classifier brings the power of this theorem to Machine Learning, building a very simple yet powerful classifier. In this article, we will see an overview on how this classifier works, which suitable applications it has, and how to use it in just a few lines of Python and the Scikit-Learn library.

Theory Behind Bayes' Theorem

If you studied Computer Science, Mathematics, or any other field involving statistics, it is very likely that at some point you stumbled upon the following formula:

P(H|E) = (P(E|H) * P(H)) / P(E)  

where

  • P(H|E) is the probability of hypothesis H given the event E, a posterior probability.
  • P(E|H) is the probability of event E given that the hypothesis H is true.
  • P(H) is the probability of hypothesis H being true (regardless of any related event), or prior probability of H.
  • P(E) is the probability of the event occurring (regardless of the hypothesis).

This is the Bayes Theorem. At first glance it might be hard to make sense out of it, but it is very intuitive if we explore it through an example:

Let's say that we are interested in knowing whether an e-mail that contains the word sex (event) is spam (hypothesis). If we go back to the theorem description, this problem can be formulated as:

P(class=SPAM|contains="sex") = (P(contains="sex"|class=SPAM) * P(class=SPAM)) / P(contains="sex")  

which in plain English is: The probability of an e-mail containing the word sex being spam is equal to the proportion of SPAM emails that contain the word sex multiplied by the proportion of e-mails being spam and divided by the proportion of e-mails containing the word sex.

Let's dissect this piece by piece:

  • P(class=SPAM|contains="sex") is the probability of an e-mail being SPAM given that this e-mail contains the word sex. This is what we are interested in predicting.
  • P(contains="sex"|class=SPAM) is the probability of an e-mail containing the word sex given that this e-mail has been recognized as SPAM. This is our training data, which represents the correlation between an e-mail being considered SPAM and such e-mail containing the word sex.
  • P(class=SPAM) is the probability of an e-mail being SPAM (without any prior knowledge of the words it contains). This is simply the proportion of e-mails being SPAM in our entire training set. We multiply by this value because we are interested in knowing how significant is information concerning SPAM e-mails. If this value is low, the significance of any events related to SPAM e-mails will also be low.
  • P(contains="sex") is the probability of an e-mail containing the word sex. This is simply the proportion of e-mails containing the word sex in our entire training set. We divide by this value because the more exclusive the word sex is, the more important is the context in which it appears. Thus, if this number is low (the word appears very rarely), it can be a great indicator that in the cases it does appear, it is a relevant feature to analyze.

In summary, the Bayes Theorem allows us to make reasoned deduction of events happening in the real world based on prior knowledge of observations that may imply it. To apply this theorem to any problem, we need to compute the two types of probabilities that appear in the formula.

Class Probabilities

In the theorem, P(A) represents the probabilities of each event. In the Naive Bayes Classifier, we can interpret these Class Probabilities as simply the frequency of each instance of the event divided by the total number of instances. For example, in the previous example of spam detection, P(class=SPAM) represents the number of e-mails classified as spam divided by the sum of all instances (this is spam + not spam)

P(class=SPAM) = count(class=SPAM) / (count(class=notSPAM) + count(class=SPAM))  

Conditional Probabilities

In the theorem, P(A|B) represents the conditional probabilities of an event A given another event B. In the Naive Bayes Classifier, these encode the posterior probability of A occurring when B is true.

For the spam example, P(class=SPAM|contains="sex") represents the number of instances in which an e-mail is considered as spam and contains the word sex, divided by the total number of e-mails that contain the word sex:

P(class=SPAM|contains="sex") = count(class=SPAM & contains=sex) / count(contains=sex)  

Applications

The application of the Naive Bayes Classifier has been shown successful in different scenarios. A classical use case is document classification: determining whether a given document corresponds to certain categories. Nonetheless, this technique has its advantages and limitations.

Advantages

  • Naive Bayes is a simple and easy to implement algorithm. Because of this, it might outperform more complex models when the amount of data is limited.
  • Naive Bayes works well with numerical and categorical data. It can also be used to perform regression by using Gaussian Naive Bayes.

Limitations

  • Given the construction of the theorem, it does not work well when you are missing certain combination of values in your training data. In other words, if you have no occurrences of a class label and a certain attribute value together (e.g. class="spam", contains="$$$") then the frequency-based probability estimate will be zero. Given Naive-Bayes' conditional independence assumption, when all the probabilities are multiplied you will get zero.

  • Naive Bayes works well as long as the categories are kept simple. For instance, it works well for problems involving keywords as features (e.g. spam detection), but it does not work when the relationship between words is important (e.g. sentiment analysis).

Demo in Scikit-Learn

It's demo time! We will use Python 3 together with Scikit-Learn to build a very simple SPAM detector for SMS messages (for those of you that are youngsters, this is what we used for messaging back in the middle ages). You can find and download the dataset from this link.

We will need three libraries that will make our coding much easier: scikit-learn, pandas and nltk. You can use pip or conda to install these.

Loading the Data

The SMS Spam Collection v.1 is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged according being ham (legitimate) or spam. The distribution is a total of 4,827 SMS legitimate messages (86.6%) and a total of 747 (13.4%) spam messages.

If we open the dataset, we will see that it has the format [label] [tab] [message], which looks something like this:

ham    Go until jurong point, crazy.. Available only in bugis n great world la e buffet... Cine there got amore wat...

ham    Ok lar... Joking wif u oni...

spam    Free entry in 2 a wkly comp to win FA Cup final tkts 21st May 2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply 08452810075over18's

ham    U dun say so early hor... U c already then say...  

To load the data, we can use Pandas' Dataframe read_table method. This allows us to define a separator (in this case, a tab) and rename the columns accordingly:

import pandas as pd

df = pd.read_table('SMSSpamCollection',  
                   sep='\t', 
                   header=None,
                   names=['label', 'message'])

Pre-processing

Once we have our data ready, it is time to do some preprocessing. We will focus on removing useless variance for our task at hand. First, we have to convert the labels from strings to binary values for our classifier:

df['label'] = df.label.map({'ham': 0, 'spam': 1})  

Second, convert all characters in the message to lower case:

df['message'] = df.message.map(lambda x: x.lower())  

Third, remove any punctuation:

df['message'] = df.message.str.replace('[^\w\s]', '')  

Fourth, tokenize the messages into into single words using nltk. First, we have to import and download the tokenizer from the console:

import nltk  
nltk.download()  

An installation window will appear. Go to the "Models" tab and select "punkt" from the "Identifier" column. Then click "Download" and it will install the necessary files. Then it should work! Now we can apply the tokenization:

df['message'] = df['message'].apply(nltk.word_tokenize)  

Fifth, we will perform some word stemming. The idea of stemming is to normalize our text for all variations of words carry the same meaning, regardless of the tense. One of the most popular stemming algorithms is the Porter Stemmer:

from nltk.stem import PorterStemmer

stemmer = PorterStemmer()

df['message'] = df['message'].apply(lambda x: [stemmer.stem(y) for y in x])  

Finally, we will transform the data into occurrences, which will be the features that we will feed into our model:

from sklearn.feature_extraction.text import CountVectorizer

# This converts the list of words into space-separated strings
df['message'] = df['message'].apply(lambda x: ' '.join(x))

count_vect = CountVectorizer()  
counts = count_vect.fit_transform(df['message'])  

We could leave it as the simple word-count per message, but it is better to use Term Frequency Inverse Document Frequency, more known as tf-idf:

from sklearn.feature_extraction.text import TfidfTransformer

transformer = TfidfTransformer().fit(counts)

counts = transformer.transform(counts)  

Training the Model

Now that we have performed feature extraction from our data, it is time to build our model. We will start by splitting our data into training and test sets:

from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test = train_test_split(counts, df['label'], test_size=0.1, random_state=69)  

Then, all that we have to do is initialize the Naive Bayes Classifier and fit the data. For text classification problems, the Multinomial Naive Bayes Classifier is well-suited:

from sklearn.naive_bayes import MultinomialNB

model = MultinomialNB().fit(X_train, y_train)  

Evaluating the Model

Once we have put together our classifier, we can evaluate its performance in the testing set:

import numpy as np

predicted = model.predict(X_test)

print(np.mean(predicted == y_test))  

Congratulations! Our simple Naive Bayes Classifier has 98.2% accuracy with this specific test set! But it is not enough by just providing the accuracy, since our dataset is imbalanced when it comes to the labels (86.6% legitimate in contrast to 13.4% spam). It could happen that our classifier is over-fitting the legitimate class while ignoring the spam class. To solve this uncertainty, let's have a look at the confusion matrix:

from sklearn.metrics import confusion_matrix

print(confusion_matrix(y_test, predicted))  

The confusion_matrix method will print something like this:

[[478   4]
[   6  70]]

As we can see, the amount of errors is pretty balanced between legitimate and spam, with 4 legitimate messages classified as spam and 6 spam messages classified as legitimate. Overall, these are very good results for our simple classifier.

Conclusion

In this article, we have seen a crash-course on both theory and practice of the Naive Bayes Classifier. We have put together a simple Multimodal Naive Bayes Classifier that achieves 98.2% accuracy on spam detection for SMS messages.


          Apple Updates Leadership Page to Include New AI Chief John Giannandrea - Mac Rumors      Cache   Translate Page   Web Page Cache   

India Today

Apple Updates Leadership Page to Include New AI Chief John Giannandrea
Mac Rumors
Apple today updated its Apple Leadership page to include John Giannandrea, who now serves as Apple's Chief of Machine Learning and AI Strategy. Apple hired Giannandrea back in April, stealing him away from Google where he ran the search and ...
Apple's Siri, Machine Learning teams now under control of new hire John Giannandrea [u]AppleInsider
Apple Hands Siri Responsibilities to Executive Poached From GoogleWall Street Journal
Apple's new AI chief now oversees Siri, Core ML, and machine learning teamsThe Verge
TechCrunch -Tom's Guide -BGR -Business Insider
all 37 news articles »

          MFEC เปิดตัว mDefense โซลูชัน Machine Learning ป้องกันและคาดการณ์ปัญหาหลังบ้านให้องค์กร      Cache   Translate Page   Web Page Cache   

MFEC เปิดตัว mDefense โซลูชันวิเคราะห์และแจ้งเตือนล่วงหน้าด้วย Machine Learning เพื่อป้องกันปัญหาที่อาจจะเกิดกับระบบหลังบ้านของแอปพลิเคชันขององค์กร โดยโซลูชันนี้พัฒนาต่อยอดมาจากแพลตฟอร์ม Cisco Tetration

mDefense จะนำข้อมูลจาก Tetration Telemetry ร่วมกับ Application Performance Monitoring (APM) เพื่อสร้างโมเดลสำหรับ Machine Learning สำหรับคาดการณ์และแจ้งเตือนการเกิด downtime ของเซิร์ฟเวอร์และแอปขององค์กร รวมถึงแจ้งด้วยว่าจะส่งผลต่อผู้ใช้เท่าไหร่ จะสูญเสียเงินเท่าไหร่จากเหตุการณ์นี้ พร้อมบอกแนวทางแก้ไขก่อนเกิดเหตุ

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          Apple ปรับทีมด้าน AI และ Machine Learning ให้อยู่ใต้การนำของอดีตหัวหน้า AI จาก Google      Cache   Translate Page   Web Page Cache   

แอปเปิลได้อัพเดตเว็บในหน้าผู้บริหารระดับสูง โดยเพิ่ม John Giannandrea อดีตหัวหน้าฝ่ายเสิร์ชและ AI ของกูเกิล ที่มีข้อมูลว่าย้ายมาอยู่แอปเปิลเมื่อเดือนเมษายน ซึ่งตำแหน่งของเขาคือหัวหน้าฝ่าย Machines Learning และยุทธศาสตร์ AI

รายละเอียดของหน้าที่นั้นบอกว่า Giannandrea จะดูภาพรวมของ AI และ Machines Learning ทั้งหมดในแอปเปิล ตลอดจนการพัฒนาเทคโนโลยี Core ML และ Siri

มีรายงานว่าในแอปเปิลเองก็มีการจัดองค์กรใหม่สำหรับฝ่ายนี้ โดยรวมทีมที่ดู Core ML กับ Siri ที่เดิมแยกกัน ให้มาอยู่ภายใต้ Giannandrea ทั้งหมด ซึ่งจะช่วยให้ผลิตภัณฑ์มีการทำงานร่วมกันดีมากขึ้น

ที่มา: 9to5Mac

alt="John Giannandrea"


          Google’s Former AI Boss To Make Siri Smarter And Lead Apple’s AI Efforts      Cache   Translate Page   Web Page Cache   

Former Google AI head John Giannandrea, who joined Apple earlier this year, will now lead the company’s combined team of Core ML and Siri Technologies. As confirmed by the Apple Leadership website, Giannandrea will move forward with his role of leading Machine learning and Artificial Intelligence encompassing the Siri assistant team and Core ML, the Apple […]

The post Google’s Former AI Boss To Make Siri Smarter And Lead Apple’s AI Efforts appeared first on Fossbytes.


          Senior Software Engineer - Microsoft - Redmond, WA      Cache   Translate Page   Web Page Cache   
Experience with leveraging machine learning and AI for Analytics. The Big Data Fundamentals team focuses on Engineering systems, Advanced data Analytics /...
From Microsoft - Fri, 27 Apr 2018 19:10:03 GMT - View all Redmond, WA jobs
          Solutions Architect - Amazon Web Services - Amazon.com - Chicago, IL      Cache   Translate Page   Web Page Cache   
DevOps, Big Data, Machine Learning, Serverless computing etc. High level of comfort communicating effectively across internal and external organizations....
From Amazon.com - Wed, 14 Mar 2018 19:47:07 GMT - View all Chicago, IL jobs
          Solutions Architect - Amazon Web Services - Amazon.com - San Francisco, CA      Cache   Translate Page   Web Page Cache   
DevOps, Big Data, Machine Learning, Serverless computing etc. High level of comfort communicating effectively across internal and external organizations....
From Amazon.com - Fri, 25 May 2018 19:20:02 GMT - View all San Francisco, CA jobs
          Frmr CIA Gen. Counsel Helps 1st Crypto Security Token Platform Launch      Cache   Translate Page   Web Page Cache   
By Indeco – Tonight: Indeco and truCrowd Launch First End-to-End Security Token Platform with Offerings for the General Public – A Wide Range of Startups, Including Solar Energy, Machine Learning, Baby Food On-Demand and Virtual Reality projects, Will Be Introduced Online and in Meet-ups Around the World WASHINGTON, D.C. / ACCESSWIRE / July 11, 2018 […]
          It may be years before you have a real AI driven car, the AI Chips arms race and Silicon Fens – a new place for cyber talent      Cache   Translate Page   Web Page Cache   
The following are some of the stories we are tracking in the world of AI: The AI revolution has spawned a new chips arms race No doubt that artificial intelligence is the future. In its wake, AI and machine learning have spawned a new chips arms race involving tech giants and a plethora of chip [...]
          Imaging and Machine Learning Research Scientist - AIRY:3D - Montréal, QC      Cache   Translate Page   Web Page Cache   
Contribute to expanding our patent portfolio, generate publishable research. We’re looking to add even more imaging and machine learning expertise to our team....
From Indeed - Wed, 04 Jul 2018 16:53:54 GMT - View all Montréal, QC jobs
          5 trendów w bankowości, których warto być świadomym      Cache   Translate Page   Web Page Cache   
Nowe technologie, regulacje prawne i coraz bardziej wymagający klient. To 3 czynniki, które składają się na krajobraz w jakim sektor finansowy funkcjonuje w 2018 roku. Z jakimi wyzwaniami banki muszą się aktualnie mierzyć? AI, Machine Learning, Big Data w służbie […]
          Unify Square Announces New Microsoft Teams And Machine Learning Expansions For Market-Leading PowerSuite Software      Cache   Translate Page   Web Page Cache   


          Io-Tahoe Brings Machine Learning-Driven Data Discovery to Master Data Management and Data Governance Conference in Chicago      Cache   Translate Page   Web Page Cache   

Company to demonstrate smart data discovery, using ML to create, maintain and search business rules across vast amounts of data

(PRWeb July 11, 2018)

Read the full story at https://www.prweb.com/releases/2018/07/prweb15619317.htm


          Comment on Apple combines machine learning and Siri teams under John Giannandrea by Yojimbo007      Cache   Translate Page   Web Page Cache   
Before u get super confused about my post!! And my struggles with Apple AI ..( from roots up....! ) ..... I Meant ‘RESORTED ‘ not ‘resourced..’ ... Grr.. just wish Apple Ai can be more up to PAR sometimes..rather than feel like a joke compared to the competition... Google does a bang up job.. I wish Apple would ... Rather than brush off f-ups like u did! But
          Comment on Apple combines machine learning and Siri teams under John Giannandrea by Yojimbo007      Cache   Translate Page   Web Page Cache   
Johehimbo008... ( apparently u have no clue about my id’s origin ..;). Lol ) Any way .JHO . there is zero doubt that you understood my post..,yet resourced to cheap shots to trash it. Its telling in its own way.... trust me .... Ponder on that and who you are!
          Crowdfunding Opp Opens Door to Invest in Music Innovation      Cache   Translate Page   Web Page Cache   
(NewsUSA) - DigiTrax Entertainment, Inc., a pioneer in the music technology industry, is offering forward-looking investors a chance to get involved in the future of music.The signature DigiTrax technology, known as The Music Builder platform, involves the use of artificial intelligence and machine learning to help musicians create new music and to analyze existing music to avoid copyright infringements.The company is leveraging seven granted patents and is continuing to develop software products that will change the way people and companies create music."DigiTrax Entertainment is far from a neophyte in the music creation and distribution space," DigiTrax CEO Joseph Vangieri says, referring to the company's 15,000-song hits catalog and professional distribution API, which already generates revenue."Our expertise in the machine learning and artificial intelligence sectors will allow our platform, The Music Builder, to extend our capabilities, and the capabilities of music creators and copyright owners everywhere, far beyond where they are now," Mr. Vangieri says."We want to leverage our patents in the music artificial intelligence and analysis field to disrupt the music industry in much the same way that digital photography and computer graphics imaging (CGI) disrupted the film and gaming industries - by putting powerful and transformative tools that help automate music creation and analysis into the hands of everyday people," Vangieri explains.The Knoxville, Tennessee-based company has opened an initial investment round on an equity crowdfunding platform. The platform, SeedInvest, is designed to allow access to venture capital and angel investing opportunities to anyone who wants to get involved with promising companies at an early stage."It's a great opportunity to be among the one percent of vetted applicants to be accepted to SeedInvest," Vangieri says.DigiTrax Entertainment, Inc. is offering securities under Regulation CF and Rule 506(c) of Regulation D through SI Securities, LLC ("SI Securities"). The Company has filed a Form C with the Securities and Exchange Commission in connection with its offering, a copy of which is available on the SeedInvest portal at: https://goo.gl/5QtqGs.The company offers convertible notes with a $5,000 minimum investment on SeedInvest.For more information, visit the DigiTrax profile on the SeedInvest portal at https://goo.gl/5QtqGs
          Andrejus Baranovski: Contextual Chatbot with TensorFlow, Node.js and Oracle JET - Steps How to Install and Get It Working      Cache   Translate Page   Web Page Cache   
Blog reader was asking to provide a list of steps, to guide through install and run process for chatbot solution with TensorFlow, Node.JS and Oracle JET.

Resources:

1. Chatbot UI and context handling backend implementation - Machine Learning Applied - TensorFlow Chatbot UI with Oracle JET Custom Component

read more


          Apple Updates Leadership Page to Include New AI Chief John Giannandrea - Mac Rumors      Cache   Translate Page   Web Page Cache   

India Today

Apple Updates Leadership Page to Include New AI Chief John Giannandrea
Mac Rumors
Apple today updated its Apple Leadership page to include John Giannandrea, who now serves as Apple's Chief of Machine Learning and AI Strategy. Apple hired Giannandrea back in April, stealing him away from Google where he ran the search and ...
Apple's Siri, Machine Learning teams now under control of new hire John Giannandrea [u]AppleInsider
Apple Hands Siri Responsibilities to Executive Poached From GoogleWall Street Journal
Apple Psychotherapist Giannandrea Needs To Heal Siri's Split Mind.Forbes
The Verge -TechCrunch -Tom's Guide -BGR
all 39 news articles »

          QA Engineer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 08 Jun 2018 16:35:13 GMT - View all New York, NY jobs
          Data Scientist - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Tue, 05 Jun 2018 16:15:49 GMT - View all New York, NY jobs
          Back End Engineer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Sun, 03 Jun 2018 06:21:49 GMT - View all New York, NY jobs
          UI Engineer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Sun, 27 May 2018 20:27:03 GMT - View all New York, NY jobs
          AI Conversation Designer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Sat, 14 Apr 2018 06:15:32 GMT - View all New York, NY jobs
          Recruiting Sourcer - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 23 Mar 2018 06:21:11 GMT - View all New York, NY jobs
          People Analytics - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 23 Mar 2018 06:21:08 GMT - View all New York, NY jobs
          Recruiter/Talent Acquisition - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 23 Mar 2018 06:20:53 GMT - View all New York, NY jobs
          Product Owner, Talent Community Platform - Wade & Wendy - New York, NY      Cache   Translate Page   Web Page Cache   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Fri, 16 Mar 2018 04:28:45 GMT - View all New York, NY jobs
          Un mundo de datos: presentan un nuevo sistema de almacenamiento inteligente      Cache   Translate Page   Web Page Cache   
Se trata de FlashSystem 9100 de IBM, que mejora la velocidad en la transmisión de información. Cómo se usa el machine learning para anticipar problemas y administrar mejor los recursos.
          Machine Learning Solution Architect - HP - Fort Collins, CO      Cache   Translate Page   Web Page Cache   
Working with Light House customers and HP labs, identify and model representative Machine Learning work flows....
From HP - Tue, 03 Apr 2018 11:35:03 GMT - View all Fort Collins, CO jobs
          Splice Machine's Data Platform for Intelligent Applications Now Available as a Fully Managed Service on Microsoft Azure      Cache   Translate Page   Web Page Cache   
...can develop and deploy smarter, predictive applications designed to integrate fast data streaming, transactional workloads, analytics and machine learning, enabling business transformation at performance, scale and an affordable price point. Company Name: Logo The Splice Machine data platform enables customers to ...

          Tamr Closes $18 Million Investment to Accelerate Growth & Secure Leadership of the Enterprise Data Unification Market      Cache   Translate Page   Web Page Cache   
...platform uses machine learning supplemented with customers' knowledge to unify and prepare data across myriad silos to deliver previously unavailable business-changing insights. With a co-founding team led by Andy Palmer (founding CEO of Vertica) and Mike Stonebraker (Turing Award ...

          Apptio Introduces Machine Learning And Intelligent Analytics To Automate And Simplify TBM Across U.S. Federal Agencies      Cache   Translate Page   Web Page Cache   
...Department of Justice's Executive Office for Immigration Review (DOJ - EOIR), and more. About Apptio Apptio (NASDAQ:  APTI ) is the business management system of record for hybrid IT. We transform the way IT runs its business and makes decisions. With our ...


          Websites That Teach Artificial Intelligence Fundamentals      Cache   Translate Page   Web Page Cache   

Interested in learning more about artificial intelligence (A.I.) and machine learning? There are lots of education options available online, provided you’re a self-starter with the discipline […]

The post Websites That Teach Artificial Intelligence Fundamentals appeared first on Dice Insights.


          What machine learning means for software development: 'Human in the loop' software development will be a big part of the future.      Cache   Translate Page   Web Page Cache   
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          Artificial Intelligence used to remove noise from photos      Cache   Translate Page   Web Page Cache   

There is a new and apparently better way to fix grainy photos, and it uses AI. Artificial Intelligence, one must say, coupled with lots of computing power, but that’s growing day after day. Artificial Intelligence and machine learning will never cease to surprise us, apparently. Each new day, there’s some new announcement, covering different fields:...

The post Artificial Intelligence used to remove noise from photos appeared first on ProVideo Coalition.


          Driving results with video at every stage of the customer journey      Cache   Translate Page   Web Page Cache   

People increasingly visit YouTube to learn new things, in addition to entertaining themselves and connecting with others. In many ways, YouTube has become as much an information destination as an entertainment hub. And that quest for information certainly extends to brands, products and services. So what does that mean for marketers?

It means video has a role to play in every stage of your consumer’s journey. And in order for you to be effective during each and every interaction, you need options.

This week at Google Marketing Live, we shared the work we’re doing on new ad formats and bidding strategies for YouTube that are designed to align to your campaign objectives—whether you want to build awareness for your brand, shift perceptions or drive a specific action.

For brands with awareness or reach goals, we built TrueView for reach. It brings our primary in-stream format together with the simplicity of CPM buying. In an initial TrueView for reach test, used car retailer DriveTime drove 2,400 dealership visits at a CPM 40 percent below what they were paying for local TV, enabling them to reach 66 percent more people at the same budget.

Beyond reach, many brands rely on YouTube’s attentive audience to shift perception—be it consideration or purchase intent. To help you accomplish and measure this, we’re launching Maximize lift. This new bidding strategy uses Google’s machine learning and continuous brand lift measurement to help you efficiently reach people who are more likely to consider your brand after exposure to an ad. COVERGIRL recently used Maximize lift bidding with TrueView in-stream ads to influence consideration for a new mascara and drove an estimated 2x return on ad spend.

Increasingly, video is also leading people to take action. In fact, globally, conversions generated by YouTube ads are up 150 percent year over year.1 Using TrueView for action, you can drive any action on your website that’s important to your business, like booking a trip, scheduling a test drive or requesting more information.

Later this year, we'll introduce a new flavor of TrueView for action designed to help you generate high quality leads directly from your video ads. This new form feature enables people to submit their email address or phone number directly from your video ad, making it even easier for them to sign up for your service or learn more about your business. Additionally, you’ll soon be able to choose between Target CPA bidding and Maximize conversions bidding for TrueView for action campaigns, giving you more ways to drive even better results.

Dick's Sporting TrueView for Reach

While effective on their own, these new ad options for YouTube truly shine when used in concert. That’s what DICK’S Sporting Goods did during last year’s holiday season.

To build awareness and reach a broad audience with an inspirational message showing the brand’s commitment to youth sports, the retailer used TrueView for reach. They built on this momentum with standard in-stream, TrueView in-stream and six-second bumper ads to deliver promotional messaging to in-market audiences. Then, they followed up with TrueView for action ads to drive people to their website to buy.


This strategy moved their customers seamlessly through the full purchase journey, achieving a return on ad spend of 10 to 1.


DICK’S Sporting Goods demonstrated one approach to a full-funnel YouTube strategy, but the possibilities are vast. We’re excited to see how you use YouTube to deliver results at every stage of your customer’s journey and we'll continue to build solutions that help you do so.

1  Google Internal Data, Global, 6/1/16 - 5/1/17 vs. 6/1/17 - 5/1/18


          Sr Software Engineer ( Big Data, NoSQL, distributed systems ) - Stride Search - Los Altos, CA      Cache   Translate Page   Web Page Cache   
Experience with text search platforms, machine learning platforms. Mastery over Linux system internals, ability to troubleshoot performance problems using tools...
From Stride Search - Tue, 03 Jul 2018 06:48:29 GMT - View all Los Altos, CA jobs
          Cloud Analytics Market Size, Trends, Growth and Key Manufacturers Analysis -Azure Machine Learning, Google Cloud Platform, IBM Cognos Analytics,IBM Operations Analytics, Oracle Analytics       Cache   Translate Page   Web Page Cache   
(EMAILWIRE.COM, July 11, 2018 )   According to Publisher, the global cloud analytics market to grow from USD 8723.82 million in 2016 to USD 33917.91 million by 2023, at a CAGR of 21.41%. The year 2016 has been considered as the base year, while the forecast period is up-to 2023. Cloud analytics...
          Data Scienitst - Maths Modelling, Python, Forecasting, Machine Learning techniques, London, to 50k DoE: ECM SELECTION      Cache   Translate Page   Web Page Cache   
£Negotiable + Benefits package: ECM SELECTION
For more latest jobs and jobs in London & South East England visit brightrecruits.com
          Book Memo: “Monetizing Machine Learning”      Cache   Translate Page   Web Page Cache   
Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud Take your Python machine learning ideas and create …

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          Senior Machine Learning Engineer, AI Personalization - Zillow Group - Seattle, WA      Cache   Translate Page   Web Page Cache   
Personalization is a critical part of making Zillow the largest, most-trusted, and vibrant home-related market in the world....
From Zillow Group - Tue, 10 Jul 2018 01:07:37 GMT - View all Seattle, WA jobs
          C/C++ Software Engineer/Machine Learning - Mobica - Kraków, małopolskie      Cache   Translate Page   Web Page Cache   
I hereby agree for processing of personal data by Mobica Limited with headquarter in Crown House, Manchester Road, Wilmslow, UK, SK9 1BH whose representative is...
Od Mobica - Wed, 20 Jun 2018 15:06:19 GMT - Pokaż wszystkie Kraków, małopolskie oferty pracy
          How to Use MLflow, TensorFlow, and Keras with PyCharm      Cache   Translate Page   Web Page Cache   

At Spark + AI Summit in June, we announced MLflow, an open-source platform for the complete machine learning cycle. The platform’s philosophy is simple: work with any popular machine learning library; allow machine learning developers experiment with their models, preserve the training environment, parameters, and dependencies, and reproduce their results; and finally deploy, monitor and […]

The post How to Use MLflow, TensorFlow, and Keras with PyCharm appeared first on Databricks.


          Architect - Microsoft - Redmond, WA      Cache   Translate Page   Web Page Cache   
Preferred experience with at least one of the Machine Learning related technologies (SAS, SPSS, RevR, Azure ML, MapR)....
From Microsoft - Wed, 25 Apr 2018 01:08:05 GMT - View all Redmond, WA jobs
          MACHINE LEARNING RESEARCH INTERN - Huawei Canada - Montréal, QC      Cache   Translate Page   Web Page Cache   
We thank all applicants for their interest in career opportunities with Huawei. Machine Learning Research Intern....
From Huawei Canada - Mon, 18 Jun 2018 23:46:16 GMT - View all Montréal, QC jobs
          MACHINE LEARNING INTERN FOR SPEECH RELATED APPLICATIONS - Huawei Canada - Montréal, QC      Cache   Translate Page   Web Page Cache   
We thank all applicants for their interest in career opportunities with Huawei. Machine Learning Intern for Speech related Applications....
From Huawei Canada - Mon, 18 Jun 2018 17:50:57 GMT - View all Montréal, QC jobs
          MACHINE LEARNING HARDWARE RESEARCHER OR DEVELOPER - Huawei Canada - Montréal, QC      Cache   Translate Page   Web Page Cache   
We thank all applicants for their interest in career opportunities with Huawei. Machine Learning Hardware Researcher or Developer....
From Huawei Canada - Wed, 06 Jun 2018 23:47:32 GMT - View all Montréal, QC jobs
          Machine Learning Software Developer - Huawei Canada - Montréal, QC      Cache   Translate Page   Web Page Cache   
We thank all applicants for their interest in career opportunities with Huawei. ML Software developer....
From Huawei Canada - Wed, 06 Jun 2018 23:47:31 GMT - View all Montréal, QC jobs
          National Partner Technical Manager - Pure Storage - Dallas, TX      Cache   Translate Page   Web Page Cache   
Be a Pure Storage technical expert and in areas of Storage, Artificial Intelligence, Big Data, SDN, SaaS solutions, Networking, Dev-ops, Machine Learning,...
From Pure Storage - Fri, 11 May 2018 22:35:36 GMT - View all Dallas, TX jobs
          ISV Technology Director - AI and ML - 67511 - Advanced Micro Devices, Inc. - Austin, TX      Cache   Translate Page   Web Page Cache   
AMD’s Machine Learning team work on many high-impact projects that serve AMD’s various lines of business. 3+ Years with leading ISV’s leveraging the Machine...
From Advanced Micro Devices, Inc. - Sat, 07 Jul 2018 01:32:18 GMT - View all Austin, TX jobs
          Chief Information Officer - LAW DEPARTMENT - Manhattan, NY      Cache   Translate Page   Web Page Cache   
AI, Machine Learning, Robotic Process Automation, etc.? Engage business stakeholders, customers, and the leadership team to ensure strategic alignment and... $75,338 - $194,395 a year
From NYC Careers - Sat, 23 Jun 2018 07:32:01 GMT - View all Manhattan, NY jobs
          Mindsphere Principal PreSales Solutions Consultant - West, US - Siemens AG - Seattle, WA      Cache   Translate Page   Web Page Cache   
Business Analytics, Analytics / Machine Learning tools such as R, SAS, Tableau, or scikit-learn. Analytics and machine learning....
From Siemens AG - Tue, 03 Jul 2018 03:42:27 GMT - View all Seattle, WA jobs
          Data Architect - Remote West coast - Insight Enterprises, Inc. - Dallas, TX      Cache   Translate Page   Web Page Cache   
R, Azure Machine Learning. 2017 Arizona’s Most Admired Companies (AZ Business Magazine), 2016 Best Places to Work (Phoenix Business Journal)....
From Insight - Mon, 14 May 2018 23:57:10 GMT - View all Dallas, TX jobs
          University Recruiter (Contract) - Intel - Hillsboro, OR      Cache   Translate Page   Web Page Cache   
Inside this Business Group. High level understanding of AI, Deep Learning, Machine Learning, etc. Regularly monitor candidate pipeline activity and share...
From Intel - Wed, 20 Jun 2018 10:37:58 GMT - View all Hillsboro, OR jobs
          Data in One or Two Places: What Could Go Wrong?      Cache   Translate Page   Web Page Cache   
Silos of data have become the term du jour for many folks thinking about search and machine learning. By piling all that info into one convenient place, we can accomplish amazing feats. However, as those silos get larger and start gobbling up smaller silos, what are we left with? This was a concern brought up […]
          Senior Site Reliability Engineer - Sift Science - Seattle, WA      Cache   Translate Page   Web Page Cache   
The Sift Science Trust PlatformTM uses real-time machine learning to accurately predict which users businesses can trust, and which ones they can’t....
From Sift Science - Fri, 22 Jun 2018 20:18:59 GMT - View all Seattle, WA jobs
          Distributed Systems Engineer - Sift Science - Seattle, WA      Cache   Translate Page   Web Page Cache   
Familiar with distributed database internals. The Sift Science Trust PlatformTM uses real-time machine learning to accurately predict which users businesses can...
From Sift Science - Fri, 11 May 2018 06:17:55 GMT - View all Seattle, WA jobs
          Python Developer - MJDP Resources, LLC - Radnor, PA      Cache   Translate Page   Web Page Cache   
Assemble large, complex data sets that meet business requirements and power machine learning algorithms. EC2, Lambda, ECS, S3.... $30 - $40 an hour
From Indeed - Wed, 13 Jun 2018 13:41:07 GMT - View all Radnor, PA jobs
          Data Engineer - PYTHON - MJDP Resources, LLC - Devon, PA      Cache   Translate Page   Web Page Cache   
Assemble large, complex data sets that meet business requirements and power machine learning algorithms. EC2, Lambda, ECS, S3.... $100,000 - $120,000 a year
From Indeed - Thu, 26 Apr 2018 14:09:44 GMT - View all Devon, PA jobs
          Data Engineer - Buyside - Wayne, PA      Cache   Translate Page   Web Page Cache   
Assemble large, complex data sets that meet business requirements and power machine learning algorithms. EC2, Lambda, ECS, S3....
From Indeed - Wed, 28 Mar 2018 17:26:33 GMT - View all Wayne, PA jobs
          Senior Software Engineer - Revenue Optimization - WeWork Global Technology - New York, NY      Cache   Translate Page   Web Page Cache   
Experience building Linear Programming solutions and Machine learning applications highly desired. Deep understanding of Amazon Web Services including ECS,...
From WeWork - Wed, 06 Jun 2018 05:19:01 GMT - View all New York, NY jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Winston-Salem, NC      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Winston-Salem, NC jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Charlotte, NC      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Charlotte, NC jobs
          Artificial Intelligence / Machine Learning Production Operations Governance Lead ASE6 - Wells Fargo - Charlotte, NC      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:57:46 GMT - View all Charlotte, NC jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Shoreview, MN      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Shoreview, MN jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Minneapolis, MN      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Minneapolis, MN jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Des Moines, IA      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Sat, 07 Jul 2018 12:59:00 GMT - View all Des Moines, IA jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - West Des Moines, IA      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all West Des Moines, IA jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Jacksonville, FL      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Jacksonville, FL jobs
          Why Machine Learning And Big Data Will Produce The Earliest Wins      Cache   Translate Page   Web Page Cache   
Generating value and confidence in emerging technology will depend on an organization’s resources, technology ecosystems, and trust.
          Data Science Analyst - Strategic Data Solutions - Apple - Austin, TX      Cache   Translate Page   Web Page Cache   
We apply data science and machine learning to drive strategic impact across multiple lines of business at Apple....
From Apple - Fri, 06 Jul 2018 13:47:35 GMT - View all Austin, TX jobs
          John Giannandrea è il "Chief of Machine Learning and AI Strategy" di Apple (e nuovo papà di Siri)      Cache   Translate Page   Web Page Cache   

Se era già noto ad aprile, figuriamoci ora. Nelle scorse ore Apple ha voluto rendere ancor più chiara la posizione dell'ex-Google John Giannandrea all'interno della sua struttura dirigenziale, col piuttosto altisonante titolo di "Chief of Machine Learning and AI Strategy"....

L'articolo John Giannandrea è il "Chief of Machine Learning and AI Strategy" di Apple (e nuovo papà di Siri) proviene da SaggiaMente.


          Sr Software Engineer - Applied Machine Learning - Apple - Austin, TX      Cache   Translate Page   Web Page Cache   
We work on many high-impact projects that serve various Apple lines of business. Understanding of machine learning, statistics....
From Apple - Fri, 15 Jun 2018 01:48:26 GMT - View all Austin, TX jobs
          Director, Customer Service Product and Tools - Kabam - Austin, TX      Cache   Translate Page   Web Page Cache   
Enthusiastic about the latest mobile trends and emerging technologies (IE Machine Learning, AI). Providing leadership and supporting for the technology...
From Kabam - Thu, 24 May 2018 02:31:26 GMT - View all Austin, TX jobs
          7/11/2018: Brands & Companies: Google Accelerator Initiative to Mentor Startups in AI, Cloud      Cache   Translate Page   Web Page Cache   
Technology giant Google is kicking off its Launchpad Accelerator-India, with a focus on startups which are ‘Solving-for-India’ using artificial intelligence and machine learning. This Bengaluru-based initiative comes on the back of Google’s global...
          Senior Site Reliability Engineer - Sift Science - Seattle, WA      Cache   Translate Page   Web Page Cache   
The Sift Science Trust PlatformTM uses real-time machine learning to accurately predict which users businesses can trust, and which ones they can’t....
From Sift Science - Fri, 22 Jun 2018 20:18:59 GMT - View all Seattle, WA jobs
          Distributed Systems Engineer - Sift Science - Seattle, WA      Cache   Translate Page   Web Page Cache   
Familiar with distributed database internals. The Sift Science Trust PlatformTM uses real-time machine learning to accurately predict which users businesses can...
From Sift Science - Fri, 11 May 2018 06:17:55 GMT - View all Seattle, WA jobs
          Python Developer - MJDP Resources, LLC - Radnor, PA      Cache   Translate Page   Web Page Cache   
Assemble large, complex data sets that meet business requirements and power machine learning algorithms. EC2, Lambda, ECS, S3.... $30 - $40 an hour
From Indeed - Wed, 13 Jun 2018 13:41:07 GMT - View all Radnor, PA jobs
          Data Engineer - PYTHON - MJDP Resources, LLC - Devon, PA      Cache   Translate Page   Web Page Cache   
Assemble large, complex data sets that meet business requirements and power machine learning algorithms. EC2, Lambda, ECS, S3.... $100,000 - $120,000 a year
From Indeed - Thu, 26 Apr 2018 14:09:44 GMT - View all Devon, PA jobs
          Data Engineer - Buyside - Wayne, PA      Cache   Translate Page   Web Page Cache   
Assemble large, complex data sets that meet business requirements and power machine learning algorithms. EC2, Lambda, ECS, S3....
From Indeed - Wed, 28 Mar 2018 17:26:33 GMT - View all Wayne, PA jobs
          Senior Software Engineer - Revenue Optimization - WeWork Global Technology - New York, NY      Cache   Translate Page   Web Page Cache   
Experience building Linear Programming solutions and Machine learning applications highly desired. Deep understanding of Amazon Web Services including ECS,...
From WeWork - Wed, 06 Jun 2018 05:19:01 GMT - View all New York, NY jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Winston-Salem, NC      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Winston-Salem, NC jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Charlotte, NC      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Charlotte, NC jobs
          Artificial Intelligence / Machine Learning Production Operations Governance Lead ASE6 - Wells Fargo - Charlotte, NC      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:57:46 GMT - View all Charlotte, NC jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Shoreview, MN      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Shoreview, MN jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Minneapolis, MN      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Minneapolis, MN jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Des Moines, IA      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Sat, 07 Jul 2018 12:59:00 GMT - View all Des Moines, IA jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - West Des Moines, IA      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all West Des Moines, IA jobs
          Artificial Intelligence / Machine Learning Platform Operations Lead ASE6 - Wells Fargo - Jacksonville, FL      Cache   Translate Page   Web Page Cache   
Management routines and internal communications. The ECS Customer Enablement and Business Automation Team (CEBAT) is responsible for providing foundational and...
From Wells Fargo - Fri, 06 Jul 2018 00:58:03 GMT - View all Jacksonville, FL jobs
          Automatic Recognition of Asphalt Pavement Cracks Based on Image Processing and Machine Learning Approaches: A Comparative Study on Classifier Performance      Cache   Translate Page   Web Page Cache   
Periodic surveys of asphalt pavement condition are very crucial in road maintenance. This work carries out a comparative study on the performance of machine learning approaches used for automatic pavement crack recognition. Six machine learning approaches, Naïve Bayesian Classifier (NBC), Classification Tree (CT), Backpropagation Artificial Neural Network (BPANN), Radial Basis Function Neural Network (RBFNN), Support Vector Machine (SVM), and Least Squares Support Vector Machine (LSSVM), have been employed. Additionally, Median Filter (MF), Steerable Filter (SF), and Projective Integral (PI) have been used to extract useful features from pavement images. In the feature extraction phase, performance comparison shows that the input pattern including the diagonal PIs enhances the classification performance significantly by creating more informative features. A simple moving average method is also employed to reduce the size of the feature set with positive effects on the model classification performance. Experimental results point out that LSSVM has achieved the highest classification accuracy rate. Therefore, this machine learning algorithm used with the feature extraction process proposed in this study can be a very promising tool to assist transportation agencies in the task of pavement condition survey.
          macOS High Sierra 10.13.5 - The latest OS from Apple. (Free)      Cache   Translate Page   Web Page Cache   

macOS High Sierra introduces new core technologies that improve the most important functions of your Mac. From rearchitecting how it stores your data to improving the efficiency of video streaming to unleashing the full power of your graphics processor, it’s all central to today’s Mac experience.

  • Apple File System. Your data is under new management. Your documents. Your photos. Your mail. Your apps. To your Mac, everything you care about is data. And a file system is what organizes all that data into files and folders you can access with a click. Our current file system was designed in the early days of Mac, and it has performed beautifully ever since. But today’s flash‑based Mac systems open up new possibilities for innovation, so it’s time to lay a new foundation. With macOS High Sierra, we’re introducing the Apple File System to every Mac with all‑flash internal storage, with an advanced architecture that brings a new level of security and responsiveness.
  • HEVC. The new standard for video. With the rising popularity of 4K video, a new industry standard arrives on Mac - HEVC (High Efficiency Video Coding, also known as H.265).1 It can compress video up to 40 percent more than H.264, the current standard for video compression. Using HEVC, videos stream better and take up less space on your Mac, while preserving the same visual quality.
  • Metal 2. A graphics game changer. Today’s Mac experience relies more than ever on the graphics processor (GPU) in your computer. And GPUs are becoming more and more powerful. Metal is a technology built into macOS that allows apps to unleash the full power of the GPU. Now Metal 2 not only takes the visual experience to the next level, but also adds capabilities like machine learning, virtual reality, and external GPU support for entertainment and professional creative apps. Whether you play games, create content, or develop software, Metal 2 provides the power to bring your imagination to life.
  • Virtual reality for Mac. It’s a whole new world. macOS High Sierra lets developers create interactive virtual reality experiences on Mac for the first time, using the new iMac with Retina 5K display, the new iMac Pro coming in late 2017, or any supported Mac paired with an external GPU.3 With optimized support for Valve’s SteamVR and the HTC Vive VR headset, and content creation apps like Final Cut Pro X, Epic Unreal 4 Editor, and Unity Editor, developers have everything they need to create immersive new worlds for you to explore.


Version 10.13.5:

Note: Combo and delta updates are available in Related Links, as is the update specific to the new iMac Pro.

  • The macOS High Sierra 10.13.5 update improves the stability, performance, and security of your Mac.
  • This update adds support for Messages in iCloud, which lets you store messages with their attachments in iCloud and free up space on your Mac. To enable Messages in iCloud, go to Preferences in Messages, click Accounts, then select "Enable Messages in iCloud".


  • OS X 10.8 or later



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          Will Apple’s new AI chief fix Siri?      Cache   Translate Page   Web Page Cache   
Apple has a new chief that will oversee Apple's strategy for artificial intelligence and machine learning, who's also supposed to fixate many shortcomings of Apple's underpowered digital assistant.