Pattern Recognition and Machine Learning (Information Science and Statistics)
Language: English
Published by Springer, 2006
- Hardcover
- Used
Condition: Used - Very good
US$ 36.49
Quantity: 1 available
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Fast & Free Shipping – Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.
Seller Inventory # ZWV.0387310738.VG
- Title
- Pattern Recognition and Machine Learning (Information Science and Statistics)
- Author
- Bishop, Christopher M.
- Publisher
- Springer
- Publication year
- 2006
- Condition
- very_good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0387310738
- ISBN 13
- 9780387310732
- Series
- Book 1 of 1: Information science and statistics
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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