Patterns of Scalable Bayesian Inference - Foundations and Trends (R) in Machine Learning - Elaine Angelino - Libros - now publishers Inc - 9781680832181 - 17 de noviembre de 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

Medios de comunicación Libros     Paperback Book   (Libro con tapa blanda y lomo encolado)
Publicado 17 de noviembre de 2016
ISBN13 9781680832181
Editores now publishers Inc
Páginas 148
Dimensiones 156 × 234 × 8 mm   ·   217 g