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by: Christopher M. Bishop

 : Pattern Recognition and Machine Learning (Information Science and Statistics)
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List Price: $94.95
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Binding: Hardcover
Brand: imusti
EAN: 9780387310732
Feature: Springer
ISBN: 9780387310732
Item Dimensions: 979750408175
Label: Springer
Languages: EnglishPublishedEnglishOriginal LanguageEnglishUnknown
Manufacturer: Springer
Number Of Items: 1
Number Of Pages: 738
Publication Date: April 06, 2011
Publisher: Springer
Studio: Springer

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This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.





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