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Learning Probabilistic Graphical Models in R

You're reading from Learning Probabilistic Graphical Models in R Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R

Product type Paperback

Published in Apr 2016

Publisher Packt

ISBN-13 9781784392055

Length 250 pages

Edition 1st Edition

Languages

R

Concepts

Data Visualization

Table of Contents (10) Chapters

Preface

1. Probabilistic Reasoning FREE CHAPTER

2. Exact Inference

3. Learning Parameters

4. Bayesian Modeling – Basic Models

5. Approximate Inference

6. Bayesian Modeling – Linear Models

7. Probabilistic Mixture Models

A. Appendix

Index

Who this book is for

This book is for anyone who has to deal with lots of data and draw conclusions from it, especially when the data is noisy or uncertain. Data scientists, machine learning enthusiasts, engineers, and those who are curious about the latest advances in machine learning will find PGM interesting.

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