Learning Bayesian Models with R
Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems
Publisher:Packt Publishing Limited
Paid access
|Jan 2015
Table of Contents
- Overview of Probability Theory
- Setting up the R Environment
- Introducing Bayesian Inference
- Machine Learning using Bayesian Inference
- Getting to know Regression Models
- Introducing Classification Models
- Models for Unsupervised Learning
- Probabilistic Graphical Models- Bayesian Networks
- Big Data and Bayesian Inference
PDF ISBN: 978-1-78398-761-0
Publisher: Packt Publishing Limited
Publication date: 2015
Language: English
Pages: 168
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