Patterns of Scalable Bayesian Inference - Foundations and Trends (R) in Machine Learning - Elaine Angelino - Books - now publishers Inc - 9781680832181 - November 17, 2016
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Patterns of Scalable Bayesian Inference - Foundations and Trends (R) in Machine Learning

Elaine Angelino

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Patterns of Scalable Bayesian Inference - Foundations and Trends (R) in Machine Learning

Identifies unifying principles, patterns, and intuitions for scaling Bayesian inference. This book examines how these techniques can be scaled up to larger problems and scaled out across parallel computational resources, and reviews existing work on utilizing computing resources with both MCMC and variational approximation techniques.

148 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released November 17, 2016
ISBN13 9781680832181
Publishers now publishers Inc
Pages 148
Dimensions 156 × 234 × 8 mm   ·   217 g

See all of Elaine Angelino ( e.g. Paperback Book )