Description: Pattern Recognition And Machine Learning, Hardcover by Bishop, Christopher M., ISBN 0387310738, ISBN-13 9780387310732, Brand New, Free shipping in the US This is the first textbook on pattern recognition to present the Bayesian viewpoint. Th 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 th includes a self-contained introduction to basic probability theory.
Price: 102.99 USD
Location: Jessup, Maryland
End Time: 2024-11-30T08:31:35.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Pattern Recognition And Machine Learning
Number of Pages: Xx, 778 Pages
Language: English
Publication Name: Pattern Recognition and Machine Learning
Publisher: Springer New York
Publication Year: 2006
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Cognitive Psychology & Cognition, Computer Vision & Pattern Recognition
Item Height: 0.7 in
Item Weight: 75.7 Oz
Type: Textbook
Item Length: 9.3 in
Author: Christopher M. Bishop
Subject Area: Mathematics, Computers, Psychology
Item Width: 7 in
Series: Information Science and Statistics Ser.
Format: Hardcover
