Pattern Recognition and Machine Learning

類型： Hardback 語言： 英語（English） 作者： Bishop, Christopher M. 頁數(shù)： 778 頁 出版于： 2006-08-17 ISBN13： 9780387310732 ISBN10： 0387310738 出版社： Springer New York 規(guī)格： 254 x 178 mm 重量： 1360 克

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.
查看Google書籍信息

<p>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.</p>

圖書的預(yù)售
若書籍的出版日期為將來的時間，即該商品處于預(yù)售狀態(tài)。我們將在出版后進行發(fā)貨。

其它信息
了解支付方式、發(fā)票制度、積分和優(yōu)惠券兌換等內(nèi)容