Book Image

Learning Bayesian Models with R

By : Hari Manassery Koduvely
Book Image

Learning Bayesian Models with R

By: Hari Manassery Koduvely

Overview of this book

Table of Contents (16 chapters)
Learning Bayesian Models with R
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we discussed the various merits of using Bayesian inference for the classification task. We reviewed some of the common performance metrics used for the classification task. We also learned two basic and popular methods for classification, Naïve Bayes and logistic regression, both implemented using the Bayesian approach. Having learned some important Bayesian-supervised machine learning techniques, in the next chapter, we will discuss some unsupervised Bayesian models.