Pattern Recognition and Machine Learning by Christopher M. Bishop pdf free download

Pattern Recognition and Machine Learning by Christopher M. Bishop pdf free download

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.

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.

I do not have a formal math background and I am able to follow this book. It is very easy to understand for a self motivated learner. The highest math class I have taken was Calculus in high school; the rest has been supplemental from various online videos and wikipedia articles. The author provides both the symbolic mathematical explanation as well as the geometric meaning in graphs. This really helps to clarify things. I am learning the math, the techniques, and the intuition behind it as well. This is rare to find all in one source but this book manages to do an excellent job at it.

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Format: PDF

Size: 4.735 MB

 

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