Description: Pattern Recognition and Machine Learning Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Christopher M. Bishop Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781493938438, 978-1493938438 Synopsis 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.
Price: 52.2 GBP
Location: Aldershot
End Time: 2023-12-31T07:29:04.000Z
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Book Title: Pattern Recognition and Machine Learning
Item Height: 254mm
Item Width: 178mm
Author: Christopher M. Bishop
Publication Name: Pattern Recognition and Machine Learning
Format: Paperback
Language: English
Publisher: Springer-Verlag NY Inc.
Subject: Computer Science, Mathematics
Publication Year: 2016
Type: Textbook
Item Weight: 1921g
Number of Pages: 738 Pages
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