Ask HN: Engineers from non-CS background, how did you pivot into ML/AI?

Post by danloeb » Fri, Jan 04, 2019, 12:16 AM UTC

edouard-harris wrote: post #116

danloeb wrote: post #93

Earlier quoted context omitted.

Hi Edouard, interesting concept. Who are the mentors and why don't you list or profile a few of them on the website? (beyond the company logos)

Thanks! Some stats about our mentors: - There are about 60 of them now - Geographic distribution is ~1/3 in the Bay Area, ~1/3 in the Toronto region, the rest across the USA and Canada - About 50% are deep learning engineers, the other half are a combination of ML devops, data eng, traditional ML (clustering, boosted trees, etc.) - About half work in (or are alums of) the AI labs of major companies such as the ones w…

Thanks for the response!

Post by ultrasounder » Sat, Jan 05, 2019, 7:09 PM UTC

screye wrote: post #109

imh wrote: post #71

Stop focusing on MOOCs and youtube videos and study textbooks. Do exercises. Treat it like academic studying, and you'll end up with a decent education. It's important, because it's often easier to make a thing work okay than to understand why it works, so you'll get false confidence working through a tutorial. But then you want to apply that to something else and it doesn't work quite right, you won't know why it do…

> textbook I recommend Kevin Murphy's ML a probabilistic approach and Ian Goodfellow's Deep Learning. Those are the books used in most of the ML courses I took in grad school. There is also Chris Bishop's Pattern Recognition and Machine Learning, but I think it is less popular now, than it was before.

Thanks for the recommendation. The Murphy's book looks solid, better than half the books above. I personally own the ISLR(Hastie) and learning from data(Yaser). Both are beginner friendly. What were the Math requirements for the classes that you took at Uni that used Murphy's book? And how would one go about acquiring those Math/Stats/Prob skills in order to work through a tome like Murphy?Thanks

Re: Ask HN: Engineers from non-CS background, how did you pivot into ML/AI?

Re: Ask HN: Engineers from non-CS background, how did you pivot into ML/AI?