Summary

In this chapter, we learned about machine learning and its uses. Providing computers the ability to learn and improve has far-reaching uses in this world. It is used in predicting disease outbreaks, predicting weather, games, robots, self-driving cars, personal assistants, and much more.

There are three different types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.

In this chapter, we learned about supervised learning, especially about Naïve Bayes and decision trees. In further chapters, we will learn more about ensemble learning and unsupervised learning.