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          AWS Architect - Insight Enterprises, Inc. - Chicago, IL      Cache   Translate Page      
Database architecture, Big Data, Machine Learning, Business Intelligence, Advanced Analytics, Data Mining, ETL. Internal teammate application guidelines:....
From Insight - Thu, 12 Jul 2018 01:56:10 GMT - View all Chicago, IL jobs
          Supply Chain Performance Analyst - StandardAero - Summerside, PE      Cache   Translate Page      
Support the development of reporting metrics to monitor progress of on-going improvement projects. Support the development of enhanced data mining, data mining...
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          Database Administrator - Radiant Solutions - Springfield, VA      Cache   Translate Page      
Machine learning, data mining, and knowledge discovery. Work is non-routine and very complex, involving the application of advanced technical and business...
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          Supplier Relations Analyst - Wesco International - Markham, ON      Cache   Translate Page      
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          Facebook releases smart video chat speakers amid user privacy concern      Cache   Translate Page      

Facebook releases smart video chat speakers amid user privacy concern

DF-Xinhua Report

U.S. social media giant Facebook Monday unveiled a pair of artificial intelligence-powered smart video chat devices, Portal and Portal +, which are designed to connect people and feel like being in the same room.

   Facebook said the new video communication speakers with tablet-size screens for the home can dramatically change the way people keep in touch and their built-in AI technology makes video calling easier and more like hanging out.

   The debut of the Facebook-brand-bearing electronic gadgets represents the social network's first bold entry into the fray in a competition of consumer hardware with other internet giants such as Amazon and Google, which launched their smart speakers years ago.

   The Portal, which is equipped with a 10-inch 1280x800 display, can let users video chat with their families and friends over Facebook Messenger, while the Portal + has a 15-inch 1920x1080 pivoting display.

   Facebook said the two speakers are powered by AI as well as smart camera and sound technology that let users have a better, more convenience and hands-free experience. The speaker's Smart Camera can sense the movement and action, and automatically pans and zooms to keep everyone in view.

   While the two Facebook-branded hardware makes consumers' home smarter and better connected with family members, there is growing concern about user privacy that could arise from internet-related technology, especially after Facebook has been questioned about its privacy policy since a data breach scandal earlier this year.

   Facebook has been extensively challenged about its security measures in protecting users' sensitive data since a British data mining firm Cambridge Analytica was accused of illegally accessing the data of 87 million Facebook users without their knowledge.

   Facebook CEO Mark Zuckerberg was summoned to a hearing in U.S. Congress in April to explain the firm's privacy policies.

   Last month, Facebook reported vulnerabilities in its account login mechanism that could affect more than 90 million users, who risked having their private information including names and passwords accessed by hackers.

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          Prediction of Stock Price in Investor Portfolios with Stock Price Time Series Analysis using ANN Wibiksana Hendra S2 Informatics Engineering Telkom University Bandung, Indonesia hendra2621@gmail.com Houw Liong Thee Postgraduate Telkom University Bandung, Indonesia thehl007@gmail.com Fatchul Huda Arief Mathematics Engineering UIN Sunan Gunung Djati Bandung, Indonesia afhuda@uinsgd.ac.id       Cache   Translate Page      
Prediction of Stock Price in Investor Portfolios with Stock Price Time Series Analysis using ANN Wibiksana Hendra S2 Informatics Engineering Telkom University Bandung, Indonesia hendra2621@gmail.com Houw Liong Thee Postgraduate Telkom University Bandung, Indonesia thehl007@gmail.com Fatchul Huda Arief Mathematics Engineering UIN Sunan Gunung Djati Bandung, Indonesia afhuda@uinsgd.ac.id Abstract—Indonesia Stock Exchange (IDX) is a place to trade the stock market in Indonesia. In general, this is represented by the value of Jakarta Composite Index (JCI). JCI itself is the combined value of all stocks listed on the Stock Exchange. It does not matter whether the stock traded on that day is in a state of rising, down, flat (no change in value), not being traded and even suspension (prohibited from conducting transactions for a certain period of time). The stock data source used is the closing stock price of BNI, BCA and Mandiri stocks for 5 years from 2011-2015 from the Indonesia Stock Exchange (via yahoo finance site). Each of these stock data are be trained and tested, to observe how much the accuracy by using this method. The stock price that has been predicted by ANN are merged into a portfolio, this portfolio will shows the increasing or decreasing. At the end of process, the change rate of loss predicted stock price into beneficial predicted stock price are calculated. The daily data accuracy of BNI, BCA and Mandiri are 97.7474%, 98.2266%, and 97.8942%. Weekly accuracy data a bit smallest than daily accuracy. The weekly data accuracy of BNI, BCA and Mandiri are 95.4247%, 97.0631%, and 96.5706%. Monthly accuracy data a bit smallest than weekly accuracy. The monthly data accuracy of BNI, BCA and Mandiri are 91.6259%, 95.9425%, and 94.1434%. If the investor focuses all of his funds only to buy one stock, then he will have a portfolio profit of 3 times more than before. If the profit of BNI stocks is 19.19%, then in terms of the investor portfolio will have a profit of 19.19% x 3 = 57.57%. Compare with the profit level of the 3 banks which if we add up, the value will be as follows: 19.19+17.68+15.73 = 52.6%. So there are additional benefits from a portfolio of 57.57% - 52.6% = 4.97%. Keywords— stock, Backpropagation, prediction, portfolio Background Jakarta Composite Index (JCI) is a value used to measure the combined performance of all stocks listed on the Indonesia Stock Exchange. JCI can be used to assess the general market situation or measure if the stock price has increased or decreased. JCI rose show excitement, whereas JCI down indicate a market sluggishness [1]. When there is an increase in JCI, of course stock investors excited because it could achieve a profit as much as the price difference between the current sales price and the purchase price of the stock before. The other way, when JCI has decreased, of course, mostly small / large investors are experiencing a panic with the action of release the stock. Stocks are proof of equity in a company. By buying a company's stock, you are investing capital or funds that will be used by the management to finance the company's operational activities. There are two types of corporate shares: preferred stock and common stock. Portfolio is if you diversify your investments in more than one stock or with a combination of bonds, forex, property or other assets in order to reduce risk, you have created a portfolio. The stock data source used is the closing stock price of BNI, BCA and Mandiri shares for 5 years from 2011-2015 from the Indonesia Stock Exchange [2] [3] [4]. For the theory, Backpropagation algorithm is applied. Backpropagation is the one method for pattern recognition beside Perceptron, Adeline and Madeline. Backpropagation use data input, hidden neuron and data output for estimate forecast value ahead based on given source data. Backpropagation is better than other 3 pattern recognition methods for time series case. Predicting stock price become challenging for this decade [5]. So many previous researcher to find the best model for predicted stock price like Jay Desai, Arti Trivedi and Nisarg A Joshi (2013) [6]. This research uses closing price data as training and testing data set, unfortunately from his experiment only reached training accuracy result still 59.84% and average testing accuracy 82%. The data used by Jay Desai, Arti Trivedi and Nisarg A Joshi are the homogeneous data in the form of price out (close) S & P CNX Nifty 50 Index. Trading data used by it is from January 1, 2010 to December 31, 2011. Jay Desai use neural network with one input layer, one hidden layer and one linear output layer. 10 input variables are used with 10 neurons in the hidden layer. All networks tested in the study are trained for 3,000 epochs. So based on this result, I want improve that accuracy better than him. I will make propose new neural network architecture with one input layer, one hidden layer and one output layer, where input layer contains 20 input data, 10 hidden neurons in hidden layer and 1 output data in output layer. The objective is to purposes of this research are to predict stock prices portfolio with prediction accuracy greater than 82%. The hypothesis is this prediction can be achieved by ANN method and hope its accuracy value can be greater than 80% for BNI, BCA and Mandiri stock and stock price portfolio greater than 80%. RESEARCH DESIGN This study contains some parts, starting from collecting raw data, backpropagation process include training and testing, prediction plot combination training and testing, making plot from testing data from each stock (BNI, BCA and Mandiri), calculate delta value from each stock (BNI, BCA and Mandiri), plot portfolio, and calculate benefit BNI, BCA, Mandiri, and portfolio based on the above banks. An overall architecture of the stages is shown in Figure 1. Figure 1 Research Design Legends: 1. Close Price Stock Data for training and testing 2. Backpropagation 3. Prediction plot Training+Testing 4. Making plot from testing data from each stock (BNI, BCA, Mandiri) 5. Best accuracy from daily, weekly and monthly data 6. Calculate delta value from each stock (BNI, BCA, Mandiri) (tn – tn-1) 7. Buy and sell for each stock (BNI, BCA, Mandiri) 8. Combine 3 delta value (BNI, BCA and Mandiri) into 1 plot 9. Decision which stock have high benefit to investor with delta value each stock 10. Delta value for buy stock (- - +) at the lowest price from 3 banks 11. Delta value for selling stock (+ + -) at the highest price from 3 banks 12. Print table benefit portfolio 13. Calculate benefit 14. Plot portfolio 15. Result analysis Raw data Experiment began with collecting data from one resources. Where the dataset is obtained from yahoo finance website [see implementation process no.3 in chapter 4 Experiment Result] during 5 years from January 1, 2011 until December 31, 2015. List of stock dataset are close price data of BNI, BCA and Mandiri stocks. Backpropagation process Backpropagation divide to 2 phase: training process and testing process. The training and testing data will be separate in 3 scenario: 60%:40%, 70%:30% and 80%:20%. Training process In training phase, there are several phase: Close Price Stock Data Experiment began with collecting data from one resources. Where the dataset is obtained from yahoo finance website [2] [3] [4] during 5 years from January 1, 2011 until December 31, 2015. List of stock dataset are close price data of BNI, BCA and Mandiri stocks. For this case, the dataset used is for training data. For detail, you can see in next step below. Training Process In here, each close price stock data (BNI, BCA and Mandiri) be trained for forecast 1 month and 3 months based on daily data, weekly data and monthly data with proportion 60%:40%, 70%:30% and 80%:20%. It means from 100 data, 60 became training data and the other will become testing data (60%:40%). It will be the same with proportion for 70%:30% and 80%:20%. Weight and Bias In here, each input variable from training process will calculate and update weight and bias until will be get MSE value. Tolerance error minimum or max epoch reached In here, tolerance error be setting to less than 0.001 and max epoch be setting maximum 10,000 epochs. In fact, the stop condition achieved during an experiment is always the maximum epoch number achieved than the error rate that must be achieved less than 0.001. An overall architecture of training process is shown in Figure 2. Testing Process In testing phase, there are several phase: Close Price Stock Data Experiment began with collecting data from one resources. Where the dataset is obtained from yahoo finance website for BNI [2], BCA [3] and Mandiri [4] stock during 5 years from January 1, 2011 until December 31, 2015. List of stock dataset are close price data of BNI, BCA and Mandiri stocks. For this case, the dataset used is for testing data. For detail, you can see in next step below. Testing Process In here, each close price stock data (BNI, BCA and Mandiri) be tested for forecast 1 month and 3 months based on daily data, weekly data and monthly data with proportion 60%:40%, 70%:30% and 80%:20%. It means from 100 data, 40 became testing data and the other will become training data (60%:40%). It will be the same with proportion for 70%:30% and 80%:20%. Surely, testing process based on the training model result where contains weight and bias value before to executed. Prediction result The value between origin testing data and forecast data during testing process. An overall architecture of training process is shown in Figure 3. Prediction plot After second process (Backpropagation process) above is done, the prediction result from each training and testing will be combine into one plot for every experiment scenario. There are describe step by step by diagram below (see Figure 4). Weight and bias value from Training model result, can be used for testing process After testing process is done, it will give a prediction result Making plot from testing data from each stock (BNI, BCA and Mandiri) From prediction plot training and testing, only testing data plotted and calculate delta value from each stock (BNI, BCA and Mandiri). The delta value formula is: delta = tn – tn-1 where tn is the forecast value for today and tn-1 is the forecast value for yesterday. Figure 2 Backpropagation Training Process Figure 3 Backpropagation Testing Process Portfolio plot This section is the next step after prediction plot process (step 3 above) is done. Best result from daily, weekly and monthly accuracy Selecting from each daily, weekly and monthly plotting in step 3c, which is getting the best accuracy. The best accuracy from that 3 type data, it will be continue to next step. Combine 3 delta value into 1 plot In here, the delta value from previous step, will be combine 3 delta value both BNI, BCA and Mandiri into 1 plot Decision which stock have high benefit to investor In here, the system will decision which stock has high benefit to investor with comparison delta value from each stock. Which the stock to buy and sell. For more explanation about this, you can see in section 3.4.1 and 3.4.2 about buy analysis and sell analysis Print table benefit Print table benefit both BNI, BCA and Mandiri stock Plot portfolio Making plot portfolio from table benefit Figure 4 Prediction Plot Result Analysis Giving conclusion which stock has high benefit to investor during period An overall architecture of the stages is shown in Figure 5. Table 1 Scenario of Research for BNI, BCA and Mandiri No Data Type Training Total Data Testing Total Data 1 Daily 60% 736 40% 490 2 70% 858 30% 368 3 80% 981 20% 245 4 Weekly 60% 155 40% 103 5 70% 181 30% 77 6 80% 206 20% 52 7 Monthly 60% 36 40% 24 8 70% 42 30% 18 9 80% 48 20% 12 EXPERIMENT RESULT A detail about experiment result, you can see in Table 2 below.  Table 2 Experiment Result No. Bank Data type Training Total Data Accuracy Testing Total Data Accuracy 1 BNI Daily 60% 736 97.9652% 40% 490 97.956% 2 70% 858 97.9903% 30% 368 97.9066% 3 80% 981 98.0134% 20% 245 97.7474% 4 Weekly 60% 155 96.9404% 40% 103 96.1172% 5 70% 181 96.8367% 30% 77 96.017% 6 80% 206 96.8925% 20% 52 95.4247% 7 Monthly 60% 36 92.2304% 40% 24 93.0717% 8 70% 42 92.384% 30% 18 93.0797% 9 80% 48 92.8769% 20% 12 91.6259% 10 BCA Daily 60% 736 98.0013% 40% 490 98.4043% 11 70% 858 98.0028% 30% 368 98.3903% 12 80% 981 97.9829% 20% 245 98.2266% 13 Weekly 60% 155 97.3678% 40% 103 97.4292% 14 70% 181 97.447% 30% 77 97.3375% 15 80% 206 97.5270% 20% 52 97.0631% 16 Monthly 60% 36 93.7236% 40% 24 96.6982% 17 70% 42 94.3474% 30% 18 96.2256% 18 80% 48 94.6175% 20% 12 95.9425% 19 Mandiri Daily 60% 736 97.8848% 40% 490 98.2297% 20 70% 858 97.9111% 30% 368 98.2633% 21 80% 981 97.9246% 20% 245 97.8942% 22 Weekly 60% 155 96.4793% 40% 103 96.8952% 23 70% 181 96.5508% 30% 77 96.9584% 24 80% 206 96.7027% 20% 52 96.5706% 25 Monthly 60% 36 92.3449% 40% 24 95.0939% 26 70% 42 92.8416% 30% 18 95.1057% 27 80% 48 93.3736% 20% 12 94.1434% How to calculate portfolio Portfolio benefits are calculated from the difference between the latest investment value and the initial investment value divided by the initial investment value. The value of prediction accuracy with daily data is better than weekly and monthly, because the data trained on daily data is more than weekly and monthly data. For buying or selling, use formula: Current price * amount of shares For profit calculation, use formula: (Ending value-beginning value)/(beginning value)*100% Table 3 below only happen if an investor diversify his cost to each bank. BNI, BCA and Mandiri stock are only got benefit 19.19%, 17.68% and 15.73%. But what if investors only focus their funds on one stock that has the highest profit level? In other words, the funds that were supposed to be used to buy BCA and Mandiri stocks were all only used to buy BNI stocks. Table 3 Portfolio benefits: BNI BCA Mandiri Buy: IDR 6,100 as much as 1 lot or 100 shares (IDR 610,000) Selling: IDR 7,270.9092 (IDR 727,090.92). Profit: IDR 1,170.9092/share or IDR 117,090.92 (19.19%) Buy: IDR 13,125 as much as 1 lot or 100 shares (IDR 1,312,500) Selling: IDR 15,445.4704 (IDR 1,544,547.04) Profit: IDR 2,320.4704/share or IDR 232,047.04 (17.68%) Buy: IDR 5,387.5 as much as 1 lot or 100 shares (IDR 538,750) Selling: IDR 6,234.8643 (IDR 623,486.43) Profit: IDR 847.3643/share or IDR 84,736.43 (15.73%) If this is the case, then investors will have a portfolio profit of 3 times more than before. If the profit of BNI stocks is 19.19%, then in terms of the investor portfolio will have a profit of 19.19% x 3 = 57.57%. Compare with the profit level of the 3 banks which if we add up, the value will be as follows: 19.19+17.68+15.73 = 52.6%. So there are additional benefits from a portfolio of 57.57% - 52.6% = 4.97%. Figure 5 Prediction Plot conclusion All experiments have been completed, with a total 27 experiments where each stock like BNI, BCA and Mandiri each have 9 experiments with daily, weekly dan monthly data. From the experimental results for BNI, BCA and Mandiri stocks, both for daily, weekly and monthly data, it is known that the value of accuracy with daily data is better than the value of weekly and monthly data accuracy. The daily data accuracy of BNI, BCA and Mandiri are 97.7474%, 98.2266%, and 97.8942%. Weekly accuracy data a bit smallest than daily accuracy. The weekly data accuracy of BNI, BCA and Mandiri are 95.4247%, 97.0631%, and 96.5706%. Monthly accuracy data a bit smallest than weekly accuracy. The monthly data accuracy of BNI, BCA and Mandiri are 91.6259%, 95.9425%, and 94.1434%. If the investor focuses all of his funds only to buy one stock, then he will have a portfolio profit of 3 times more than before. If the profit of BNI stocks is 19.19%, then in terms of the investor portfolio will have a profit of 19.19% x 3 = 57.57%. Compare with the profit level of the 3 banks which if we add up, the value will be as follows: 19.19+17.68+15.73 = 52.6%. So there are additional benefits from a portfolio of 57.57% - 52.6% = 4.97%. recommendation During experiment, there are no anomaly data. Because there are no data about financial crisis as in year 1997 and 2008 so the recommended is include data in the year 1997 and 2008. So it is recommended to increase the time series including data in the year 1997 and 2008. References Hari Purnomo Susanto, “Pemodelan Fuzzy untuk Data Time Series menggunakan metode Tabel Look up dengan transformasi logaritma dan diferensi dan aplikasinya pada data indeks harga saham gabungan (IHSG)”, Jurnal Penelitian Pendidikan, Vol 5, Nomor 1, Juni 2013 https://finance.yahoo.com/quote/BBNI.JK/history?p=BBNI.JK https://finance.yahoo.com/quote/BBRI.JK/history?p=BBRI.JK https://finance.yahoo.com/quote/BMRI.JK/history?p=BMRI.JK Ganesh Bonde, Rasheed Khaled, “Stock price prediction using genetic algorithms and evolution strategies”, http://worldcomp-proceedings.com/proc/p2012/GEM4716.pdf, October 13, 2015 Jay Desai,Arti Trivedi, Nisarg A Joshi, “Forecasting of Stock Market Indices Using Artificial Neural Network”, Shri Chimanbhai Patel Institutes, Ahmedabad; 2013 Andy Porman Tambunan, “Menilai Harga Wajar Saham (Stock Valuation)”. 2010. Jakarta: Gramedia. Pang-Ning Tan, Michael Steinbach, Vipin Kumar-Introduction to Data Mining-Pearson (2005) Heaton Jeff, “Introduction to Neural Networks for C#”, 2nd Edition-Heaton Research, Inc. (2008) page 153 Fausett Laurene, “Fundamentals of Neural Networks – Architectures, Algorithms, and Applications”. 1994. Charlie Lie, “Kalau Ada Uang Belilah $aham”. 2010. Bandung: TriEks Media.Inc. page 91 Drs. Jong Jek Siang, M.Sc., “Jaringan Syaraf Tiruan & Pemrogramannya menggunakan MATLAB”. 2009. Jakarta: Andi. Bayu Ariestya Ramadhan, “Analisis Perbandingan Metode Arima Dan Metode Garch Untuk Memprediksi Harga Saham (Studi kasus pada perusahaan Telekomunikasi yang terdaftar di Bursa Efek Indonesia Periode Mei 2012 – April 2013”, Prodi S1 Manajemen Bisnis Telekomunikasi dan Informatika, Fakultas Ekonomi dan Bisnis, Universitas Telkom, Juni 2013 “Istilah Pasar Modal”, http://wasbunsiahaan.blogspot.com/2011/11/istilahkamus-pasar-modal.html


          Data Engineer - Amazon.com - Seattle, WA      Cache   Translate Page      
Experience working with large data sets in order to extract business insights or build predictive models (data mining, machine learning, regression analysis)....
From Amazon.com - Mon, 13 Aug 2018 19:25:19 GMT - View all Seattle, WA jobs
          Data Scraping      Cache   Translate Page      
The project is simple just using the sites http://apartment.com/ scraping the list of buildings and save in Excel. I will share 20 cities. Please let me know your Bid and what is your Turn around time... (Budget: $10 - $30 USD, Jobs: Data Entry, Data Mining, Excel, Web Scraping, Web Search)
          Web Scrapping      Cache   Translate Page      
Hello, I wanted a web scarpper in python, contact for further details. (Budget: ₹1500 - ₹12500 INR, Jobs: Data Mining, Python, Web Scraping)
          AWS Architect - Insight Enterprises, Inc. - Chicago, IL      Cache   Translate Page      
Database architecture, Big Data, Machine Learning, Business Intelligence, Advanced Analytics, Data Mining, ETL. Internal teammate application guidelines:....
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          Discovery Park Distinguished Lecture Series: Simon Hunt, MasterCard      Cache   Translate Page      

When: Wednesday, October 17, 2018 5:30 - 6:30 p.m.

Where: Lawson 1142, Purdue University, West Lafayette, IN

Simon Hunt

Executive Vice President of Cybersecurity Product Innovation, MasterCard

Cybercrime funds evil – How cybercriminals spend their money, and using lasers and the dark web to thwart them

In this talk, Simon will present a perspective on the daily arms race security professionals in the payment arena fight against their criminal counterparts. Focus will be placed on how criminals monetize their activity using payment and banking networks to cash out their illicit gains, and what they spend that money on. Covering topics such as dark web data mining, ATM network control, cash-out attacks, and physical compromises of payment devices via skimmers, shimmers, cameras, and more, he will discuss the fine line between cyber-defense and offense. Hunt will also delve into the “evil scientist” side of protecting cashless payment networks using caustic chemicals, electron and x-ray microscopes, lasers, and picosecond imaging technology.

Simon Hunt, market leader, speaker, inventor, and author in privacy, encryption, and endpoint security, drives MasterCard’s product strategy as EVP of Cybersecurity Product Innovation. Before joining MasterCard, Simon held a number of senior leadership roles within McAfee/Intel Security, as CTO Enterprise Endpoint, CTO Innovation, and CTO Secure Home Gateways. He was also the founder and CTO of SafeBoot and EVP and CTO of WinMagic.

Simon has a track record of “last 80%” product delivery – taking great technology and turning it into scalable, global, and most importantly, marketable product. He holds a number of patents on diverse topics such as authentication, encryption, smart matter, drone technology, network security, and malware detection.

Simon has a bachelor’s degree in Marine Biology/Oceanography from UCNW Bangor. Simon currently resides in upstate NY with his wife Elle and spends his personal time building houses, diving, fishing and snowboarding.

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DPDLS-SimonHuntFlyer.pdf (PDF)


          Supply Chain Performance Analyst - StandardAero - Summerside, PE      Cache   Translate Page      
Support the development of reporting metrics to monitor progress of on-going improvement projects. Support the development of enhanced data mining, data mining...
From StandardAero - Wed, 26 Sep 2018 23:57:31 GMT - View all Summerside, PE jobs
          Leading Market Players Are Planning to Dominate the Global and Regional Markets Through New Strategic Tie-Ups and Innovations      Cache   Translate Page      

Recent trends in North America include convergence of new and advanced technologies with existing technologies to enhance operations in different verticals such as automobiles and aerospace & defence.

Valley Cottage, NY -- (SBWIRE) -- 10/09/2018 -- A recent market research report by Future Market Insights presents a thorough overview of the global market for neuromorphic chip. The report is titled "Neuromorphic Chip Market: Global Industry Analysis and Opportunity Assessment, 2016-2026." The report states that the market will exhibit a promising CAGR of 20.7% from 2016 to 2026, rising from a valuation of US$1,420 mn in 2015 to a revenue opportunity of US$10,810 mn by the end of 2026.

Promise of a significant leap of improvement in terms of operational prowess, speed of processing, and better suitability to artificial intelligence applications are pushing ahead developments in the field of neuromorphic chips. The vast rise in the scope of applications of these chips across industries such as automotive, defense and military, aerospace, and machine learning is the key factor expected to drive the global neuromorphic chip market in the next few years.

Request for sample copy of report @: https://www.futuremarketinsights.com/reports/sample/rep-gb-1289

In terms of incremental opportunity across key regional markets covered in the report, the market in North America is expected to emerge as the most profitable over the report's forecast period. Owing to the thriving automotive, aerospace, and consumer electronics industries, growth opportunities are vast in the region. Moreover, the region is also home to some of the world's leading chipmakers and technology companies, making it the hub for technological developments in the area of neuromorphic chips.

The report states that the North America neuromorphic chip market will exhibit a promising 19.7% CAGR over the report's forecast period, representing an incremental opportunity of US$2,300 mn from 2016 to 2026. If the numbers hold true, the market will rise from a valuation of US$400 mn in 2015 to US$2,700 mn by the end of 2026. Several industries in the region are promoting the convergence advanced, new technologies such as neuromorphic chips with existing technologies so as to improve productivity and efficiency of operations. One of the most innovative usages of neuromorphic chips is being witnessed in the field of unmanned drones. Neuromorphic chips in drones are being tested for their ability in enabling drones to recognize any defined space visited earlier by storing and processing signal patterns emerging from surroundings of that space.

In terms of application, the report segments the global neuromorphic chip market into image recognition, data mining, and signal recognition. The key end-use industries of neuromorphic chips examined in the report are aerospace and defense, automotive, healthcare, consumer electronics, and industrial. Demand is expected to be promising across all these end-use sectors in the next few years, with the automotive and defense and aerospace sectors expected to remain at the forefront in terms of adoption of neuromorphic chips in the next few years. In the automotive industry, neuromorphic chips, in conjunction with technologies such as signal processing, could help drivers in understanding their immediate surroundings better thus helping them take better decisions.

Request to view Table of Content @: https://www.futuremarketinsights.com/askus/rep-gb-1289

Other industries are also increasingly representing growth opportunities for neuromorphic chips and are expected to help the market expand at a promising pace over the report's forecast period. The vendor landscape has started becoming crowded and companies, with the aim of strengthening their hold on the market and making the most of available opportunities, have started focusing on strategic collaborations. Some of the leading companies presently operating in the market are IBM Corporation, Hewlett Packard Labs, HRL Laboratories, LLC, General Vision, and Intel Corporation.

About Future Market Insights
Future Market Insights is the premier provider of market intelligence and consulting services, serving clients in over 150 countries. FMI is headquartered in London, the global financial capital, and has delivery centres in the U.S. and India.

FMI's research and consulting services help businesses around the globe navigate the challenges in a rapidly evolving marketplace with confidence and clarity. Our customised and syndicated market research reports deliver actionable insights that drive sustainable growth. We continuously track emerging trends and events in a broad range of end industries to ensure our clients prepare for the evolving needs of their consumers.

For more information on this press release visit: http://www.sbwire.com/press-releases/leading-market-players-are-planning-to-dominate-the-global-and-regional-markets-through-new-strategic-tie-ups-and-innovations-1061022.htm

Media Relations Contact

Abhishek Budholiya
Manager
Future Market Insights
Telephone: 1-347-918-3531
Email: Click to Email Abhishek Budholiya
Web: https://www.futuremarketinsights.com/reports/neuromorphic-chip-market

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          EPIC Tells Senate U.S. Faces Data Protection "Crisis"      Cache   Translate Page      
In advance of a hearing on consumer privacy, EPIC told the Senate Commerce Committee that America is facing a data protection "crisis." EPIC highlighted recent breaches at Google and Facebook, coupled with the FTC's failure to enforce its own consent orders, and said the system is "badly broken." EPIC also noted that more than six months have passed since the FTC said it would investigate Cambridge Analytica, "but still there is no report, no outcome, and no fine." EPIC joined a coalition of 28 consumer privacy groups in a letter to the Senate Commerce Committee, endorsing "federal baseline legislation, heightened penalties for data breaches, the end of arbitration clauses, the establishment of a privacy agency in the U.S., techniques for data minimization, [and] algorithmic transparency to prevent the secret profiling of American consumers." In today's statement, EPIC told the Committee "The FTC's failure to enforce consumer privacy safeguards has led not only to diminished data protection in the United States, but also to less innovation and less competition among Internet services."
          Minor Business Grant Leads in the USA      Cache   Translate Page      
Looking for someone in the USA who can help develop a list of 30 Grant providers for a minority business. It should have websites links, program requirements/deadlines etc. (Budget: $30 - $250 USD, Jobs: Data Entry, Data Mining, Data Processing, Database Development, Grant Writing)
          Supply Chain Performance Analyst - StandardAero - Summerside, PE      Cache   Translate Page      
Support the development of reporting metrics to monitor progress of on-going improvement projects. Support the development of enhanced data mining, data mining...
From StandardAero - Wed, 26 Sep 2018 23:57:31 GMT - View all Summerside, PE jobs
          Data Engineer - Amazon.com - Seattle, WA      Cache   Translate Page      
Experience working with large data sets in order to extract business insights or build predictive models (data mining, machine learning, regression analysis)....
From Amazon.com - Mon, 13 Aug 2018 19:25:19 GMT - View all Seattle, WA jobs
          Data Mining Project      Cache   Translate Page      
Mining internet data by date on politics and entertainment awards. (Budget: $250 - $750 USD, Jobs: Data Mining, Data Processing, Java, Python, Web Scraping)
          Recent Links of Interest to Tax Resisters · TPL      Cache   Translate Page      

Today I’ll share some links about tax policy and tax resistance in the United States that have caught my attention recently.

First, though: I’ve started a Wikipedia page on Tax resistance in the United States that covers how theories about tax resistance have shaped (and been shaped in) the U.S., and how tax resistance in practice has played out in the country. Wikipedia is an open, collaborative project that anyone can help to edit, so I encourage you to learn what it’s all about and how to help make it better.

Now on to the links:

Tax Evasion

  • The New York Times got its hands on a trove of financial documents concerning the real estate empire of Fred C. Trump, Donald Trump’s father, and published a well-done exposé on what they found. From the point of view of today’s political squabbles and tomorrow’s history lessons, the takeaway is that Donald Trump’s brand, in which he is represented as a self-made business prodigy, is a laughable con job. From our vantage, however, what’s interesting is the extent to which the Trump family used legal, effectively-legal, and illegal methods to evade taxes. They paid a fraction of what they owed, again and again. This may help bolster the widespread feeling that rich people commonly get away with tax evasion, sticking it to the little guy. This in turn erodes “tax morale” which causes voluntary tax compliance to fall.
  • Another bit of journalism hammering on this theme (though more free-wheeling and not as methodically precise) comes from GQ: “How Puerto Rico Became the Newest Tax Haven for the Super Rich”. Apparently if you can convince the IRS that you’ve become a permanent resident of the U.S. Territory of Puerto Rico, you’ll find yourself in “the only place on U.S. soil where personal income from capital gains, interest, and dividends are untaxed.”

General Government Failure

IRS Follies

Miscellaneous

  • Republicans are prone to complain about the percentage of U.S. households who are so poor they don’t have to pay income tax (remember Mitt Romney’s revealing “47%” comments way back when? Or the Wall Street Journal’s “lucky duckies” editorials?). But that didn’t stop them from crafting their major tax legislation (the recent “Tax Cuts and Jobs Act”) in such a way that it will increase the percentage of American households who pay no federal income tax. The Tax Policy Center estimates that fully 44% of American households will pay no federal income taxes at all (2% more than ). About 25% will pay no payroll tax either, or their payroll tax will be offset by a refundable income tax credit.
  • “Millennials” (says the New York Times) are joining together to swap techniques for quitting the rat race and retiring early, in something called “the FIRE movement.” They begin to live more frugally, squirrel things away, take greater care of their investment decisions, and eye an early modest retirement or semi-retirement. Most of the examples in the article are of pretty well-off people who really just needed to stop living at or above the lifestyle they could afford. But it’s people like them who pay the taxes, and by stepping off the treadmill, they stop doing so or at least stop doing so much. So if you know anyone in that category, send them a link.
  • About ten years ago the number of Americans renouncing their U.S. citizenship began to shoot up, from what had been a normal range of two to eight hundred people a year to a high of 5,409 people in . But things seem to have leveled off since then. Why? Your guess is as good as mine, maybe better.

          Staff Accountant      Cache   Translate Page      
DC-Henrico, job summary: Staff Accountant - Richmond, VA •This is a contract role. Staff Accountant - Job Duties: •Journal entries, account reconciliations and participate in month end close •Review and contract approval •Work with Category Management to capture incentives •Variance analysis and research at an account, item and vendor level •Data mining, creating queries using SQL, pulling data from Oracle da
          AWS Architect - Insight Enterprises, Inc. - Chicago, IL      Cache   Translate Page      
Database architecture, Big Data, Machine Learning, Business Intelligence, Advanced Analytics, Data Mining, ETL. Internal teammate application guidelines:....
From Insight - Thu, 12 Jul 2018 01:56:10 GMT - View all Chicago, IL jobs
          AWS Architect - Insight Enterprises, Inc. - Chicago, IL      Cache   Translate Page      
Database architecture, Big Data, Machine Learning, Business Intelligence, Advanced Analytics, Data Mining, ETL. Internal teammate application guidelines:....
From Insight - Thu, 12 Jul 2018 01:56:10 GMT - View all Chicago, IL jobs
          Thorough web scraping and data entry for solar energy websites (      Cache   Translate Page      
We are a small business located in Idaho. We are looking for detail-oriented people to gather data from 30 different websites (30 rows) related to the solar industry. Some of the data columns (18 of them)... (Budget: $10 - $30 USD, Jobs: Data Entry, Data Mining, Excel, Web Scraping, Web Search)
          Database Administrator - Radiant Solutions - Springfield, VA      Cache   Translate Page      
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
          DATA MINING      Cache   Translate Page      
Buenos Aires - Para Banco Internacional seleccionaremos a un Analista SSr de Data Mining cuyas responsabilidades son las siguientes • Desarrollo, mantenimiento e implementación de Modelos de Predictivos. • Identificación de variables y patrones de comportamiento para asistir a la toma de decisi...
          scraping/data entry sweden country      Cache   Translate Page      
Hello everyone, I need Sweden Europe country "Hairdressers" name and email only data.(19k) (Budget: $30 - $250 AUD, Jobs: Data Entry, Data Mining, Excel, Web Scraping, Web Search)
          private job for shajib A.      Cache   Translate Page      
Scrap relevant data from website * Appropriate search to extract from website * Experienced in Data Mining, Web Search, Data Processing, etc * Data entry - PDF / Image to text / word / excel * Expertise... (Budget: ₹600 - ₹1500 INR, Jobs: Data Entry, Data Mining, Excel, Web Scraping, Web Search)
          (USA-MD-Rockville) Principal Business Systems Analyst      Cache   Translate Page      
Principal Business Systems Analyst Category: IT Type: Description: We have an opening with a major aerospace company for a Principal Business Systems Analyst in Rockville, MD. This is a contract for 6 months and requires US Citizenship. If hired, you will work for GeoLogics at our aerospace client’s facility in Rockville, MD. Please read the job description below and email your resume at pchhabra@geologics.com, if you fit the requirements. Requisition # 3295 Principal Business Systems Analyst Rockville, MD 6 months contract US citizenship required Seeking an accomplished Business Systems Analyst to serve a 6-month key role in a new project team charged with selecting the best platform for the next iteration of our business process/program knowledge model tool. The primary function of this position will be to define the system requirements, perform an environmental scan, conduct a trade study, and aid in the initial development of the selected solution. The Business Systems Analyst will reside within the Program Management Office (PMO), reporting to the Knowledge and Talent Manager. The core values of the PMO are collaborative teamwork, continuous improvement, integrity, and fun! Key Activities of the Role: • Definition of system requirements – review existing set of requirements and amplify with additional stakeholder input and business process analysis, identify requirement gaps, and offer recommendations for informing the trade study. (Asking and answering the questions: is the list complete, who else should we engage, if we proceeded with this list, what would be missed, etc.) • Environmental scan/benchmark for enterprise information management and business process management tools/solutions – in doing so, we will achieve a more comprehensive landscape of available/used tools across the Systems; to be achieved through networking, data mining, and industry research. • Trade study – analyze selected tools against must have, would like to have, and nice to have requirements. • Key participant in a multi- disciplinary project team – leading requirements discussions, strong verbal and written communication skills to include delivering presentations. Supporting report out on project progress. This role requires the following skillsets and behaviors: • Self-starter - you have a bias towards action and are able to thrive in a fast- paced, constantly changing work environment • Problem solver – you have a talent for synthesizing complex projects, can independently translate high-level goals into actionable plans, and enjoy implementing process • Flexible Learner – you can ramp from being familiar to being an expert quickly • Naturally curious – you always look for ways to innovate and improve • Positive – you have an ability to see the silver lining, to inject hope into challenging situations, and to build positive momentum to work as a team to achieve a common mission Skills preferred: • Excel power user Required Skills • Working experience with business process modelling software tools/enterprise information management systems • Experience building and deploying a business process model solution • Experience designing trade studies • Experience conducting trade studies • 6+ yrs of related business or software analyst experience • Bachelors in Information Systems, Computer Science, or similar field • Effective communication • Strong attention to detail Relentlessly resourceful and able to drive autonomously Proficient in excel, word, and powerpoint Supportive of our nuclear deterrent mission Experience preferred: Experience in data management, analysis, visualization, modeling Bachelor's Degree and 6 years work experience in this area Priyanka Chhabra Technical Recruiter (661) 829-4924 pchhabra@geologics.com Location Rockville , MD Minimum Experience (yrs): Required Education: Not Specified Benefits:
          AWS Architect - Insight Enterprises, Inc. - Chicago, IL      Cache   Translate Page      
Database architecture, Big Data, Machine Learning, Business Intelligence, Advanced Analytics, Data Mining, ETL. Internal teammate application guidelines:....
From Insight - Thu, 12 Jul 2018 01:56:10 GMT - View all Chicago, IL jobs
          (USA-CA-Carlsbad) Commercial Digital Technologies Analytics Manager      Cache   Translate Page      
**Job Description** When you are part of the team at Thermo Fisher Scientific, you’ll do important work, like helping customers in finding cures for cancer, protecting the environment or making sure our food is safe. Your work will have real-world impact, and you’ll be supported in achieving your career goals. The Commercial Digital Technologies Analytics team is an analytics center of excellence across global eCommerce ecosystem. The team is responsible for driving revenues by offering a suite of analytics products, including metrics-tracking, dashboards, insights, business intelligence and data science, as well as marketing attribution. Turning insights into actions for all lines of business, the team is critical to the overall efficacy of eCommerce across the organization. The team has industry leading tools, processes and skills to convert analytics and insights into significant value for the business and our customers. **Responsibilities:** The Commercial Digital Technologies Analytics Manager will be responsible for working with product managers and other teams to provide direction and information to help make data-driven and strategic decisions. In this role, you will be responsible for developing an analytics roadmap, and presenting insights. Your goal will be to make the insights from data analysis actionable to drive results across multiple sites, products and channels. Success in this role requires a strong foundation in data wrangling, data science coupled with a proven ability to translate analytical insights into comprehensive optimized action plans. Your key responsibilities will include: + Take a leadership role in managing the integration of data coming from various sales and marketing channels to create an information infrastructure which will yield relevant and timely business insights. + Lead the definition of “metric that matter/KPI that matter” and manage the process to package these metrics/KPIs into dashboards and reports to measure performance of the Commercial Digital Technologies team. + Actively monitor, analyze and report on the health of the digital channel contribution to the pipeline, program ROI, customer acquisition and activity. + Lead the development and implementation of processes across functions/businesses to monitor and manage performance. These will include weekly, monthly or quarterly performance reviews. + Work with members of the Commercial Digital Technologies team to develop and communicate actionable, revenue generating strategies by analyzing online performance. + Provide analytical support to business partners in development of strategies and programs. + Develop a vision with an allied roadmap of analytics and data science along with the leadership team. + Strong passion for digital media and emerging technologies with a solid understanding of trends within marketing, web analytics, search, content analysis, social and mobile. + Apply advanced data mining techniques to build models to optimize marketing activities on eBusiness and on customer journey (customer acquisition, up sell and cross sell, and customer experience and retention). + Effectively respond to requests for ad hoc analyses. **Minimum Qualifications:** + Bachelor's degree in mathematics, statistics, Economics, Computer Science, or related field (or equivalent work experience) + 5+ years of Web Analytics Experience ( **Adobe Analytics** preferred) + 3+ years of experience in creating data visualization (Ideally using **PowerBI** ) + 3+ years of experience in **SQL** + Experience analyzing digital marketing performance with tools like Adobe Data Workbench, Abode Site Catalyst, etc. + Experience executing data analysis and reporting for digital campaigns, conversion funnel, mobile sites, and search traffic, including experience with Search Engine Marketing (SEM), Pay Per Click(PPC), and Search Engine Optimization (SEO) + Ability to leverage web analytics and marketing research to identify opportunities + Experience using statistical programs (R, SAS, Tableau, etc.) + Must have a demonstrated superior attention to detail If you are an individual with a disability who requires reasonable accommodation to complete any part of our application process, click here at https://jobs.thermofisher.com/page/show/eeo-affirmative-action-statement#accessibility for further assistance. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
          AWS Architect - Insight Enterprises, Inc. - Chicago, IL      Cache   Translate Page      
Database architecture, Big Data, Machine Learning, Business Intelligence, Advanced Analytics, Data Mining, ETL. Internal teammate application guidelines:....
From Insight - Thu, 12 Jul 2018 01:56:10 GMT - View all Chicago, IL jobs
          MultiPool Minig Pool      Cache   Translate Page      
Hi. I want to make multi currency mining pool. Pool will support qubit , myrgro , skein algorithms .. We will support more . This is only startup. (Budget: $30 - $250 USD, Jobs: Algorithm, Data Mining, Java, Python, R Programming Language)
          An application of data mining to identify potential risk factors for anophthalmia and microphthalmia.      Cache   Translate Page      
Related Articles

An application of data mining to identify potential risk factors for anophthalmia and microphthalmia.

Paediatr Perinat Epidemiol. 2018 Oct 09;:

Authors: Weber KA, Yang W, Carmichael SL, Lupo PJ, Dukhovny S, Yazdy MM, Lin AE, Van Bennekom CM, Mitchell AA, Shaw GM, National Birth Defects Prevention Study

Abstract
BACKGROUND: We examined a large number of variables to generate new hypotheses regarding a wider range of risk factors for anophthalmia/microphthalmia using data mining.
METHODS: Data were from the National Birth Defects Prevention Study, a multicentre, case-control study from 10 centres in the United States. There were 134 cases of "isolated" and 87 "nonisolated" (with other major birth defects) of anophthalmia/microphthalmia and 11 052 nonmalformed controls with delivery dates October 1997-December 2011. Using random forest, a data mining procedure, we compared the two case types with controls for 201 variables. Variables considered important ranked by random forest were included in a multivariable logistic regression model to estimate odds ratios and 95% confidence intervals.
RESULTS: Predictors for isolated cases included paternal race/ethnicity, maternal intake of certain nutrients and foods, and childhood health problems in relatives. Using regression, inverse associations were observed with greater maternal education and with increasing intake of folate and potatoes. Odds were slightly higher with greater paternal education, for increased intake of carbohydrates and beans, and if relatives had a childhood health problem. For nonisolated cases, predictors included paternal race/ethnicity, maternal intake of certain nutrients, and smoking in the home the month before conception. Odds were higher for Hispanic fathers and smoking in the home and NSAID use the month before conception.
CONCLUSIONS: Results appear to support previously hypothesised risk factors, socio-economic status, NSAID use, and inadequate folate intake, and potentially provide new areas such as passive smoking pre-pregnancy, and paternal education and ethnicity, to explore for further understanding of anophthalmia/microphthalmia.

PMID: 30300919 [PubMed - as supplied by publisher]


           Курс: Клиентская аналитика в CRM-системах: Data Mining       Cache   Translate Page      

Preview_1044819d7c

2 дня
/
49 000

Системы управления клиентами (CRM) внедряются и используются повсеместно. В большинстве случаев CRM-системы автоматизируют операционную деятельность, генерируя гигантские объемы «сырых» фактических данных. Специалистам-аналитикам важно научиться находить в информационных системах ответ на ключевой вопрос - как сформировать долгосрочную лояльность клиентов?

Чтобы разработать программы лояльности, настроенные на потребности клиентов, требуется проанализировать большие объёмы разнородных данных. Достичь необходимой глубины проработки позволяют методы интеллектуального анализа данных Data Mining.

Продолжительность: 2 дня / 16 часов

Семинар поможет слушателям:

Развить навыки:

  • Использовать для клиентской аналитики методы и средства Data Mining;
  • Готовить данные для анализа;
  • Проводить сегментирование, ранжирование, ABC- анализ, XYZ-анализ, RFM – анализ, используя различные подходы;
  • Строить прогнозные и ассоциативные модели;
  • Принимать маркетинговые и управленческие решения на основе аналитических данных из CRM-системы. 
  • Анализировать массивы клиентских данных, накапливаемых в CRM-системах, чтобы проводить низко затратный, «точечный» маркетинг.
  • Получать из данных в CRM-системах ответы на вопросы:
    • Каких клиентов привлекать? Как удержать ценных клиентов? Как минимизировать отток?
    • Как сформировать привлекательные адресные предложения? Как увеличить отклик на предложения?

          Data Analysis Tools Market-Trend of Cloud Services Adoption      Cache   Translate Page      

Albany, NY -- (SBWIRE) -- 10/10/2018 -- Combined processes including data cleansing, inspecting, modeling, and transforming are called data analysis. The processes are intended to extract useful information, to draw some informing conclusions and firm decisions for an organization's betterment.

Data analysis can be done by adopting a variety of explicit data analysis methods. Some of them comprise data mining, business intelligence, text analytics, and data visualization. The tools which are used for data analysis, dedicated to data mining, business intelligence, text analytics or for data visualizations are termed as data analysis tools. Some of these include Klipfolio, Geckoboard, Cyfe, Grow, SiSense, and GoodData. Data analysis tools help organizations to collect, visualize, and share vital information within the company. These tools usually support multiple and different cloud applications, including HubSpot, Google Analytics, Salesforce, and Facebook. Incorporating data analysis tools, companies features a business intelligence platform, which is capable of generating real time out understandable insights from the complex data. Using data analysis tools, companies are digitally monitoring their customer's buying behavior and accordingly launching new products in the market. Digital marketing professionals are making use of data analytics tools and targeting specific customers to generate business leads. Data analytics tools are helping manufacturers, IT professionals, and other small, medium, and large enterprises to leverage customer centric solutions or products to support business expansion. The data analysis tools market is expected to witness remarkable growth during the forecast period 2018 – 2026, due to such use cases and their applications.

PDF brochure For Future Advancements @ https://www.transparencymarketresearch.com/sample/sample.php?flag=B&rep_id=48282

In the current market, digital data has grown remarkably. Internet of things (IoT) proliferation is creating huge volumes of digital information at rapid pace. During the last few years, data has seen this tremendous growth. Over 85% of digital data available in the current market was generated in the last two years. In the age of connected everything, organizations are using this data for business expansion. Organizations with the help of data analysis tools, are mining the data, analyzing it, and accordingly designing their business strategies to best cater to the end use market. This in turn is driving the global data analysis tools market to experience remarkable growth. However, complexity to configure the data analysis tools would slower the market growth globally. Rising number of enterprises and their trend of cloud services adoption, specifically their migration from on premise to cloud is creating lucrative market opportunities for vendors active in the data analysis tools market across the world, and predominantly in the North America market.

Download Table Of Content @ https://www.transparencymarketresearch.com/sample/sample.php?flag=T&rep_id=48282

For more information on this press release visit: http://www.sbwire.com/press-releases/data-analysis-tools-market/data-analysis-tools-market/release-1060085.htm

Media Relations Contact

Rohit Bhisey
AVP Marketing
Telephone: 1-518-618-1030
Email: Click to Email Rohit Bhisey
Web: https://www.transparencymarketresearch.com/de-ionized-pineapple-concentrate-market.html

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          Database Administrator - Radiant Solutions - Springfield, VA      Cache   Translate Page      
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
          Scrapping Website Project      Cache   Translate Page      
Hello, I want to extract phone numbers from a website. Only phone numbers. I want to buy a script who can do it. The website will block your IP after 2 phone numbers. So, I think that you will need proxies or something like that... (Budget: $30 - $250 USD, Jobs: Data Mining, PHP, Python, Software Architecture, Web Scraping)
          Scrapping Website Project      Cache   Translate Page      
Hello, I want to extract phone numbers from a website. Only phone numbers. I want to buy a script who can do it. The website will block your IP after 2 phone numbers. So, I think that you will need proxies or something like that... (Budget: $30 - $250 USD, Jobs: Data Mining, PHP, Python, Software Architecture, Web Scraping)
          Fortnite: un leak svela le skin a tema Halloween in arrivo questo mese      Cache   Translate Page      
Fortnite: un leak svela le skin a tema Halloween in arrivo questo mese#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F%2F10000
I data miner hanno scovato tutte le skin a tema Halloween in arrivo in Fortnite Battaglia Reale questo mese.

Dopo la pubblicazione dell'aggiornamento 6.02 di Fortnite, i sempre attivissimi data miner hanno analizzato i file di gioco alla ricerca dei contenuti in arrivo nelle prossime settimane, tra i quali spiccano i costumi e gli oggetti a tema Halloween.

Prosegui la lettura
          Data entry - Upwork      Cache   Translate Page      
Hello,

I am looking for someone who has data mining entry and research experience.

The job is fairly straightforward and requires someone to fill out an excel (or google sheet) to fill in data on potential clients.

I will provide:
- Sites to be mined
- Working formatted document in which to input data
- Handover and set expectations

I have tested this out and the work if done at quality is about 6 hours - 8 hours.


Thank you,
Erik

Posted On: October 10, 2018 18:20 UTC
ID: 214420198
Category: Admin Support > Data Entry
Skills: Data Entry, Data Mining, Data Scraping, Internet Research, Microsoft Excel
Country: Canada
click to apply
          Data Engineer - Amazon.com - Seattle, WA      Cache   Translate Page      
Experience working with large data sets in order to extract business insights or build predictive models (data mining, machine learning, regression analysis)....
From Amazon.com - Mon, 13 Aug 2018 19:25:19 GMT - View all Seattle, WA jobs
          I need to Collect a website contact details like email.web url,address etc 5K business.      Cache   Translate Page      
I need to Collect website contact details like email.web URL, address etc 5K business.i have a business list. I need someone to complete the project asap and extreme quality. Do not palce an Auto Bid. (Budget: $30 - $250 USD, Jobs: Data Entry, Data Mining, Excel, Web Scraping, Web Search)
          Ethnic Food Industry in Zimbabwe      Cache   Translate Page      
Looking to hire local resident/cultural expert of Zimbabwe to conduct a market study on ethnic groups/demographics and locations for the purpose of marketing a variety of foreign products there. Market research can be based on local records or data mining... (Budget: $250 - $750 USD, Jobs: Data Mining, Internet Research, Market Research, Research, Web Search)
          Data Engineer - Amazon.com - Seattle, WA      Cache   Translate Page      
Experience working with large data sets in order to extract business insights or build predictive models (data mining, machine learning, regression analysis)....
From Amazon.com - Mon, 13 Aug 2018 19:25:19 GMT - View all Seattle, WA jobs
          Data Mining and Security (DMaS) Lab develops AI tools to defend the cyberspace of Canada      Cache   Translate Page      

SIS Faculty Member Benjamin Fung and his research team DMaS are collaborating with the Defence Research & Development Canada (DRDC) to develop an AI-powered interactive platform to understand the inner workings of software binaries, including both benign and malicious software.

Published: 10Oct2018

          Database Administrator - Radiant Solutions - Springfield, VA      Cache   Translate Page      
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
          Financial Planning & Analysis Consultant      Cache   Translate Page      
NJ-Mahwah, Our client, a pharmaceutical company located in Bergen County, NJ is seeking a Financial Planning & Analysis Consultant for a long term consulting engagement. The qualified candidate will be responsible for providing data mining and data analysis using advanced Excel and TM1. Must have pharma experience. RESPONSIBILITIES: Automate accrual process Create roll forward by balance sheet account Create


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