Naive Bayes for Machine Learning
Last Updated on August 15, 2020
Naive Bayes is a simple but surprisingly powerful algorithm for predictive modeling.
In this post you will discover the Naive Bayes algorithm for classification. After reading this post, you will know:
- The representation used by naive Bayes that is actually stored when a model is written to a file.
- How a learned model can be used to make predictions.
- How you can learn a naive Bayes model from training data.
- How to best prepare your data for the naive Bayes algorithm.
- Where to go for more information on naive Bayes.
This post is written for developers and does not assume any background in statistics or probability, although knowing a little probability wouldn’t hurt.
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Naive Bayes for Machine Learning
Photo by John Morgan, some rights reserved.
Quick Introduction to Bayes’ Theorem
In machine learning we are often interested in selecting the
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