Pattern Recognition and Machine Learning (Information Science and Statistics)

ISBN-13: 9780387310732

ISBN-10: 0387310738

Author: Christopher Bishop

Publication date:
2007
Publisher:
Springer
Format:
Hardcover 738 pages
Category:
Statistics, Computers
Rating:
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Summary

Acknowledged author Christopher Bishop wrote Pattern Recognition and Machine Learning (Information Science and Statistics) comprising 738 pages back in 2007. Textbook and etextbook are published under ISBN 0387310738 and 9780387310732. Since then Pattern Recognition and Machine Learning (Information Science and Statistics) textbook received total rating of 4 stars and was available to sell back to BooksRun online for the top buyback price of $15.18 or rent at the marketplace.


Description

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.