Pattern Recognition and Machine Learning
By:Christopher M. Bishop
Published on 2016-08-23 by Springer
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.
This Book was ranked at 38 by Google Books for keyword microsoft press fall 2000 catalog.
Book ID of Pattern Recognition and Machine Learning's Books is kOXDtAEACAAJ, Book which was written byChristopher M. Bishophave ETAG "0zcIIUEjffo"
Book which was published by Springer since 2016-08-23 have ISBNs, ISBN 13 Code is 9781493938438 and ISBN 10 Code is 1493938436
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