Pattern Recognition and Machine Learning

  • Author : Christopher M. Bishop
  • Publsiher : Springer
  • Release : 23 August 2016
  • ISBN : 1493938436
  • 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. This book was released on 23 August 2016 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 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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