Pattern Recognition and Machine Learning by Christopher M. Bishop – Hardcover

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Publisher: SpringerCondition: NewISBN-13: 9780387310732ISBN-10: 0387310738Author: Christopher M. BishopFormat: HardcoverPattern Recognition and Machine Learning by Christopher M. B ishop – 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. Show more