Naïve Bayes Classifiers
Chapter 1: Introduction
In the introduction, we’ll discuss what Bayes Theorem is, and how it can be used for classification.
Chapter 2: Naïve Bayes Classification
Machine Learning is very useful but not for every task. With this chapter, you’ll gain a better understanding of what task might require machine learning.
Chapter 3: Gaussian Naïve Bayes
In this chapter, we’ll show how Naïve Bayes can be used assuming a normal distribution.
Chapter 4: Bernoulli Naïve Bayes
In this chapter, we’ll show how Naïve Bayes can be used assuming a Bernoulli distribution.
Chapter 5: Multinomial Naïve Bayes
In this chapter, we’ll show how Naïve Bayes can be used assuming a multinomial distribution.
Chapter 6: Summary
In this chapter, we’ll summarize what was taught in the previous chapters and provide links to useful resources.