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Pattern Recognition and Machine Learning (Information Science and Statistics) (Hardback)
$86.72 - Save $15.03 (14%) - RRP $101.75 Free delivery worldwide (to United States and
all these other countries) Usually dispatched within 24 hours | |Short Description for Pattern Recognition and Machine LearningThis is the first textbook on pattern recognition to present the Bayesian viewpoint. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible, and it uses graphical models to describe probability distributions.
Full description- Publisher: Springer-Verlag New York Inc.
- Published: 01 February 2008
- Format: Hardback 760 pages
- See: Full bibliographic data
- Categories: Artificial Intelligence | Computer Vision
- ISBN 13: 9780387310732 ISBN 10: 0387310738
- Sales rank: 36,359
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Full description for Pattern Recognition and Machine Learning
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.
