Best Possible Book Recommended for Machine Learning [Discussion] [D] [Recommendation]

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • prml

    Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop (by gerdm)

  • For me it was definitely the book Pattern Recognition and Machine Learning by Christopher Bishop. It is heavily Bayesian but it gives you a broad overview and depth to understanding current models once you’re done with it. I have repo full of Python code for the models if you’re interested: https://github.com/gerdm/prml

  • pyprobml

    Python code for "Probabilistic Machine learning" book by Kevin Murphy

  • Another great book is Kevin Murphy’s Machine Learning: A probabilistic approach. He just launched the second version of his book and he has a Python repo for the models and graphs: https://github.com/probml/pyprobml

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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