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Learning Probabilistic Graphical Models in R
book

Learning Probabilistic Graphical Models in R

by David Bellot
April 2016
Beginner to intermediate content levelBeginner to intermediate
250 pages
5h 38m
English
Packt Publishing
Content preview from Learning Probabilistic Graphical Models in R

About the Reviewers

Mzabalazo Z. Ngwenya holds a postgraduate degree in mathematical statistics from the University of Cape Town. He has worked extensively in the field of statistical consulting and has considerable experience working with R. Areas of interest to him are primarily centered around statistical computing. Previously, he has been involved in reviewing the following Packt Publishing titles: Learning RStudio for R Statistical Computing, Mark P.J. van der Loo and Edwin de Jonge; R Statistical Application Development by Example Beginner's Guide, Prabhanjan Narayanachar Tattar; Machine Learning with R, Brett Lantz; R Graph Essentials, David Alexandra Lillis; R Object-oriented Programming, Kelly Black; Mastering Scientific Computing with ...

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Publisher Resources

ISBN: 9781784392055Supplemental Content