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I like textbooks for this. I can’t find them anymore for new things I’m interested in. For instance, there is no decent textbook on modern machine learning. Prior to 2014 they were great. Programming books in general seem way too narrow and quickly become obsolete.

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> 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.

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.

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

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

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