In this chapter, we learned about probability theory, Bayes theorem, Naive Bayes, and how to apply it to real-world problems. We also learned how to develop a tool that will help us test out our classifier and see whether our data holds any false negatives or positives.

In our next chapter, we will dive deeper into the world of machine learning and talk about reinforcement learning.