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Pattern Recognition and Machine Learning Information Science and Statistics [推广有奖]

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Author: Christopher M. Bishop
  • Series: Information Science and Statistics
  • Hardcover: 738 pages
  • Publisher: Springer (October 1, 2007)
  • Language: English
  • ISBN-10: 0387310738
  • ISBN-13: 978-0387310732
  • 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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关键词:Recognition information Statistics Informatio statistic describe present where

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Pattern Recognition and Machine Learning Information Science and Statistics 作者 Christopher M. Bish ...

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jgchen1966 发表于 2015-3-24 17:16:27 |只看作者 |坛友微信交流群

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liang610112 发表于 2015-3-26 10:57:33 |只看作者 |坛友微信交流群
太有用了

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catlingh 发表于 2015-11-12 18:37:16 |只看作者 |坛友微信交流群
感谢楼主,不过论坛里还有个免费版呐,呵呵

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