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Learning Bayesian Models with R
Dr. Hari M. Koduvely
[PDF.yu41] Learning Bayesian Models with R
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| #1711866 in Books | 2015-10-28 | 2015-10-28 | Original language:English | PDF # 1 | 9.25 x.38 x7.50l,.66 | File type: PDF | 168 pages||3 of 3 people found the following review helpful.| but when I compare the actual predictions with reference values the Bayesian model actually performs marginally worse than ordin|By Vincent|The book provides a quick review of all the main things you need to know when running Bayesian analyses in R. It will not make you a Bayesian wizard, but it could serve as a quick introduction to Bayesian analyses in R.
A point o|About the Author||Dr. Hari M. Koduvely |Dr. Hari M. Koduvely is an experienced data scientist working at the Samsung R&D Institute in Bangalore, India. He has a PhD in statistical physics from the Tata Institute of Fundamental Research, Mumbai, India, and
Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems
About This Book
Understand the principles of Bayesian Inference with less mathematical equations
Learn state-of-the art Machine Learning methods
Familiarize yourself with the recent advances in Deep Learning and Big Data frameworks with this step-by-step guide
Who This Book Is For
This book is ...
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