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 piv... by screye on Tuesday January 01, 2019 @08:06AM (#18800032)

> 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.

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Re:Ask HN: Engineers from non-CS background, how did you piv... by ultrasounder on Saturday January 05, 2019 @02:09PM (#18833560)

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

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