Foundations of ML and AI: Book recommendations

Re:Foundations of ML and AI: Book recommendations by stochastic_monk on Sunday October 28, 2018 @04:33PM (#18322984)

Piggybacking on this, I instead recommend an introductory ML book like Bishop or Murphy, a statistical ML book like Mohri or Shai Shalev-Schwartz, and a textbook on nonlinear optimization, convex or otherwise.

The jump from classical machine learning to deep learning is not far if you have a good understanding of first principles.

[ Parent | on HN ]

Re:Foundations of ML and AI: Book recommendations by basjacobs on Tuesday October 30, 2018 @04:25AM (#18334714)

Any reason to pick Mohri over Shai Shalev-Schwartz, or the other way around?

[ Parent | on HN ]

Re:Foundations of ML and AI: Book recommendations by stochastic_monk on Tuesday October 30, 2018 @01:30PM (#18339162)

I think that SSS is a little easier to follow, while Mohri is more complete.

It was helpful to me to have both, as details skipped over in one proof were often highlighted or better explained in its corresponding description. For someone whose training was not theoretical computer science, SSS left me with a better understanding most of the time.

[ Parent | on HN ]

Re:Foundations of ML and AI: Book recommendations by basjacobs on Wednesday October 31, 2018 @06:07AM (#18344434)

Great, I'll start with SSS. Any tips for a good optimization book to read afterwards?

[ Parent | on HN ]