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Learning Bayesian Models with R Cover

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
By:   
Paid access
|Jul 2025
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Table of contents

Table of Contents

  1. Overview of Probability Theory
  2. Setting up the R Environment
  3. Introducing Bayesian Inference
  4. Machine Learning using Bayesian Inference
  5. Getting to know Regression Models
  6. Introducing Classification Models
  7. Models for Unsupervised Learning
  8. Probabilistic Graphical Models- Bayesian Networks
  9. Big Data and Bayesian Inference
PDF ISBN: 978-1-78398-761-0
Publisher: Packt Publishing Limited
Copyright owner: © 2015 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 168
Related subjects:
Computer sciences,
Computer sciences, other
BISAC subjects:
COM014000
Thema subjects:
UY

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