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My main reference for machine learning and pattern recognition is Pattern Recognition and Machine Learning by Bishop. But I want a complementary reference to this which has more exercises and explains the mathematical stuff in more details, e.g. formulas and proofs.

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    $\begingroup$ The book by Duda, Hart and Stork may help. $\endgroup$ – Atul Ingle Sep 25 '12 at 21:42
  • $\begingroup$ @AtulIngle: Pattern classification? That's a good one. Thank you. $\endgroup$ – Gigili Sep 26 '12 at 10:28
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Another good book is: - Pattern Recognition by Theodoridis and Koutroumbas

It's about classifiers, features and clustering in the context of pattern recognition.

It contains all the mathematical stuff you want, and backs everything up with references to papers, books, etc. It has no exercises, so for that you need to look somewhere else.

Also see this StackOverflow question on the matter.

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Pattern Recognition by Theodoridis and Koutroumbas (Suggested above) has a companion Matlab book which has lot of Matlab exercises and goes along with the main text book. Check it out>> Introduction to Pattern Recognition: A Matlab Approach

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The most popular choices seem to be

Also noteworthy

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