Pattern Recognition and Machine Learning

  • Author : Christopher M. Bishop
  • Publsiher : Springer Verlag
  • Release : 17 August 2006
  • ISBN : 0387310738
  • Page : 738 pages
  • Rating : 3/5 from 1 voters

Download or read online book entitled Pattern Recognition and Machine Learning written by Christopher M. Bishop and published by Springer Verlag. This book was released on 17 August 2006 with total page 738 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : This is the first text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It provides the first text to use graphical models to describe probability distributions when there are no other books that apply graphical models to machine learning. It is also the first four-color book on pattern recognition. The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher.

Pattern Recognition and Machine Learning

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Publisher: Springer Verlag
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ISBN: 0387310738
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