Patterns of Scalable Bayesian Inference - Foundations and Trends (R) in Machine Learning - Elaine Angelino - Bøger - now publishers Inc - 9781680832181 - 17. november 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

Medie Bøger     Paperback Bog   (Bog med blødt omslag og limet ryg)
Udgivet 17. november 2016
ISBN13 9781680832181
Forlag now publishers Inc
Antal sider 148
Mål 156 × 234 × 8 mm   ·   217 g
Sprog Engelsk  

Se alt med Elaine Angelino ( f.eks. Paperback Bog )