Would like to know what would be the best path to take for DataScience newbie. I know you are planning to address them in your upcoming blogs.
Keep writing and inspiring, would be curious to know your candid answer whether “This is my perfect job?” in future.
]]>Very nice write up and glad that you turned your passion into a career that you like, I am software professional for 10+ years and recently left my job to study Machine Learning but like you said there are plenty of resources but at the same time not enough handholding, I think those resources will be helpful so please do share
Thanks
]]>It’d be great if we all could come and improve the situation by, first of all, reducing that snobbism. If one is a speaker, doesn’t mean they don’t have anything else to learn. And, as you have said, by improving the quality of talks.
My personal advice to the conference speakers is to have a couple of dry runs of the talk: just practice in front of the mirror or camera, listen to yourself. That helped me a whole lot. More than anything else.
Sometimes the talks are indeed boring and uninteresting. But in that case, why won’t we all just talk about something we’re deeply interested in, not about things that’d satisfy committee. Mainstream things are often well documented and there’s enough information onilne to get yourself up and running. Concentrating on the “cutting edge” stuff or things that would require days / months of research to get up to speed with would be much more interesting.
Just do talks that you yourself would attend, don’t be snobby and show respect to one another. Some talks may suck, but it doesn’t matter we can or have to ignore all of them.
]]>