[s1t5]

> For instance, there is no decent textbook on modern machine learning. Prior to 2014 they were great.

Do you mean books on theory or on language-specific libraries? Either way I can think of many examples. Also, the pre-2014 books are still very relevant - it's only deep learning that has seen significant developments since then.

[jl2718]

Theory and language-agnostic algorithmic implementation generally is appropriate for 'intermediate' level to my understanding. Read PRML or MLaPP, and then please tell me that you know of a suitable modern successor. Not Goodfellow. Sorry Ian.

[s1t5]

That's my second point though - why do you think that PRML and MLaPP need a modern successor at all?

[methusala8]

Can you suggest a few apart from the one by Geron? Thanks.