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This presentation from Deep Mind outlines some foundational ML books: https://drive.google.com/file/d/1lPePNMGMEKoaDvxiftc8hcy-rFpobXeJ/view https://drive.googl
by nextos 3y ago
This presentation from Deep Mind outlines some foundational ML books: https://drive.google.com/file/d/1lPePNMGMEKoaDvxiftc8hcy-rFpobXeJ/view https://drive.google.com/file/d/1lPePNMGMEKoaDvxiftc8hcy-rFp...
For the impatient, look into slide #123. Essentially, the recommendations are Murphy, Gelman, Barber, and Deisenroth.
Note these slides have a Bayesian bias. In spite of that, Murphy is a great DL book. Besides, going through GLMs is a great way to get into DL.
- mitthrowaway2 3y agoWhat is a "Bayesian bias"?
- nextos 3y agoI meant the presenter is discussing ML from a Bayesian point of view, which is interesting, but not something you need if your aim is just to understand deep learning.
- fastneutron 3y agoReality has a well known Bayesian bias… Joking aside, these slides are excellent! Is there an associated video or course that they were a part of?
- nextos 3y agoNo, these were part of a conference held at Tubingen in 2020.