Pattern Recognition And Machine Learning (豆瓣)

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作者: Christopher M. Bishop

ISBN: 9780387310732
页数: 738
定价: USD 74.95
出版社: Springer
装帧: Hardcover
出版年: 2006-08-17

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简介 · · · · · ·

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic te... (展开全部) 　　
　　
　　The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.
　　
　　This completely new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. 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.
　　
　　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. The book is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information.
　　
　　A forthcoming companion volume will deal with practical aspects of pattern recognition and machine learning, and will include free software implementations of the key algorithms along with example data sets and demonstration programs.
　　
　　Christopher Bishop is Assistant Director at Microsoft Research Cambridge, and also holds a Chair in Computer Science at the University of Edinburgh. He is a Fellow of Darwin College Cambridge, and was recently elected Fellow of the Royal Academy of Engineering. The author's previous textbook "Neural Networks for Pattern Recognition" has been widely adopted.
　　
　　Coming soon:
　　
　　*For students, worked solutions to a subset of exercises available on a public web site (for exercises marked "www" in the text)
　　
　　*For instructors, worked solutions to remaining exercises from the Springer web site
　　
　　*Lecture slides to accompany each chapter
　　
　　*Data sets available for download

豆瓣成员常用的标签(共42个) · · · · · ·

机器学习(66) 模式识别(45) pattern(14) machine(13) 计算机(13) learning(12) recognition(12) 计算机科学(9)

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关于中文版
后湖瘦民(要向天看，瞻望那高于你的苍穹。)

我把英文版打印出来后读（巨厚啊），内容虽然通俗易懂，但是每天的进度太慢了。网上搜了N久没找到中文版。请问这本书有中文版吗？......

2009-11-17

"Pattern Recognition And Machine Learning"论坛 · · · · · ·


谁在读这本书，一起讨论讨论吧，在豆瓣或者发邮件都行...	来自英子	4 回应	2009-11-16
这本书有中译版的吗？	来自华月	1 回应	2009-11-16
基本上没有比这更好的ML教材了	来自Yingfeng	7 回应	2009-09-15
这本书有影印吗？	来自Ray.Zhang	1 回应	2009-08-28
关于PRML 的一个书评	来自Tippi	2 回应	2009-07-25