In this chapter, we refreshed our knowledge of machine learning basics. We revisited the workflow of applied machine learning and clarified the main tasks, methods, and algorithms. We learned about different types for regression and how to evaluate them. We also explored cross-validation and where it is applied.

In the next chapter, we will learn about Java libraries, the tasks that they can perform, and different platforms for machine learning.