A new machine learning book: "Machine Learning: A Probabilistic Perspective"

Author kevin p Murphy Home Page: http://www.cs.ubc.ca /~ Murphyk /;

ML: app homepage: http://www.cs.ubc.ca /~ Murphyk/mlbook/index.html; This book provides a toolbox for Matlab/python, very
Good.

Download csdn: http://download.csdn.net/detail/lifeitengup/4932672.

The reasoning in this book is based on "probability and mathematical statistics" and may require higher mathematical derivation than PRML.

This book is not suitable for beginners. topics such as SVM and NN are distributed in the sections of each chapter. Therefore, it is not suitable for beginners to master ml topics. It can be viewed as a manual. Or I already have a good understanding of ML. Let's take a look at this book to complete it. Some derivation in the book is quite good.

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I recently read ml, and I am very anxious. Reading books makes me scared even more than reading paper.

Continue, come on.