[nextos]

> "Probabilistic Machine Learning" by Murphy [...] even if it contains virtually no deep learning in it

This is confusing. Are you referring to the old 2012 version?

Volumes 1 & 2 (2022-3) contain a substantial amount of deep learning [1], including relatively recent developments.

There's also a new RL volume getting written, with some drafts deposited in arXiv [2].

[1] https://probml.github.io/pml-book

[2] https://arxiv.org/pdf/2412.05265

[hodgehog11]

I was mostly referring to Volume 1 (not advanced topics). You have a point that Volume 2 definitely contains more. To be honest, I was mostly covering myself from a "that's not real deep learning" criticism; "relatively recent developments" is pretty generous if you're active in the field. Given its rapidity, anything over a few years old is essentially considered classical. It's almost impossible to have a book that is up-to-date with the state of the art here.

These are very nice volumes though (RL one is good too), and Murphy should be commended for the amount of work in here. It's probably as good a compendium as one can expect.