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Ironically I found it to be too deep. I want a quick feel for the mathematical structure and ergonomics of a field before really diving into 400 pages on logistic regressions.



I think it gets to a sufficient depth if you also consider the Supplementary Material and Jupyter Notebooks hosted on GitHub.

But for those with no ML background, the place to start is: https://mml-book.github.io/




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