Pattern Recognition and Machine Learning (2006, Springer)

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Pattern Recognition and Machine Learning (2006, Springer)

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The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible.

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Mã sản phẩm: STA1091
Danh mục: Sách IT, Sách chuyên ngành
Tình trạng: Còn hàng

Mô tả

Pattern Recognition and Machine Learning (Solutions to the Exercises: Web-Edition) (Sách gia công, Bìa mềm)

Pattern Recognition and Machine Learning (2006, Springer)

Thể loại:Computers - Computer Science

Năm:2009

In lần thứ:1st ed. 2006. Corr. 2nd printing

Ngôn ngữ:English

Trang:752

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.