Summary

In this chapter, we spoke about supervised machine learning and about two common supervised problems: classification and regression. We also covered the libraries, which are commonly-used algorithms, implemented them, and learned how to evaluate the performance of these algorithms.

There is another family of machine learning algorithms that do not require the label information; these methods are called unsupervised learning--in the next chapter, we will talk about them.