Pattern Recognition and Machine Learning Information Science and Statistics - 经管之家

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Pattern Recognition and Machine Learning Information Science and Statistics

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收藏 2014-02-05

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

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2015-3-24 17:16:27

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2015-3-26 10:57:33

太有用了

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2015-11-12 18:37:16

感谢楼主，不过论坛里还有个免费版呐，呵呵

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