3 Review(s)

Christopher M. Bishop’s Pattern Recognition and Machine Learning, published by Springer, is a comprehensive book for computer science students and professionals, especially for those who are in the field of Artificial Intelligence and Semantics. It aims at presenting the Bayesian viewpoint, and approximate inference algorithms that authorize fast approximate solutions - this is when precise answers aren’t viable. The book also contains a brief introduction to basic probability theory. About Springer Springer is one of world’s leading publishing houses. They develop and publish quality education books for various courses and competitive examinations in several fields of academics. These professional and educational books are compiled by experts and professionals in their respective fields. Some of the books published by Springer are Principles of Quantum Mechanics, Partial Differential Equations: Basic Theory, An Introduction to Laplace Transforms and Fourier Series, Fundamentals of Differential Geometry, and A First Course in Calculus.