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Pattern Recognition and Machine Learning

Author: Christopher M. Bishop
Url: http://www.rmki.kfki.hu/~banmi/elte/Bishop - Pattern Recognition and Machine Learning.pdf
Format: Pdf
Year: 2006
Category: Machine Learning
Pages: 703
Clicks: 209

This new textbook reflects these recent developments while providing a compre- hensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or ma- chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not es- sential as the book includes a self-contained introduction to basic probability theory. Because this book has broad scope, it is impossible to provide a complete list of references, and in particular no attempt has been made to provide accurate historical attribution of ideas. Instead, the aim has been to give references that offer greater detail than is possible here and that hopefully provide entry points into what, in some cases, is a very extensive literature. For this reason, the references are often to more recent textbooks and review articles rather than to original sources.

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