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Variational Bayesian Learning Theory

By: Kazuho Watanabe (Author) , Masashi Sugiyama (Author) , Shinichi Nakajima (Author)

Manufacture on Demand

Ksh 32,450.00

Format: Hardback or Cased Book

ISBN-10: 1107076153

ISBN-13: 9781107076150

Publisher: Cambridge University Press

Imprint: Cambridge University Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 11th, 2019

Publication Status: Active

Product extent: 558 Pages

Weight: 922.00 grams

Dimensions (height x width x thickness): 15.90 x 23.50 x 3.80 cms

Product Classification / Subject(s): Bayesian inference
Science: general issues
Machine learning

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Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques.

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