Pattern Recognition and Machine Learning by Christopher M. Bishop – Hardcover
$46.00
$78.00
Publisher: Springer
Condition: New
ISBN-13: 9780387310732
ISBN-10: 0387310738
Author: Christopher M. Bishop
Format: Hardcover
Pattern Recognition and Machine Learning by Christopher M. Bishop – Hardcover is a new hardcover edition from Springer, prepared for students, instructors, and self-study learners. This classic machine learning text introduces pattern recognition through a probabilistic and Bayesian perspective. It is aimed at advanced students, researchers, and practitioners who want a mathematically grounded understanding of machine learning methods.
This edition focuses on statistics and data analysis. The book develops core topics such as probability distributions, linear models, neural networks, kernel methods, graphical models, mixture models, approximate inference, and sequence models. Its emphasis is on concepts, derivations, and the reasoning behind algorithms.
A strong choice for students, instructors, and self-study learners, this listing is ideal for buyers who want a dependable physical copy. It is especially strong for graduate-level study, self-directed technical learning, and readers who want a deep theoretical foundation for modern machine learning.
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Returns are accepted within 30 days from the delivery date shown on the courier’s tracking page. Items must be unused/unread, unmarked, and in original condition (no writing, highlighting, stains, or damage). To start a return, email support@bookvalleyusa.com (or bookvalleyusa@gmail.com) with your order number and reason (include photos if the item arrived damaged or incorrect). If approved, we’ll email a free return shipping label. please return the item (if eligible) and place a new order. Refunds are issued to the original payment method after inspection.
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