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> 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 too
by screye 8y ago
> 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.
- ultrasounder 8y agoThanks 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