In this chapter, we will discuss supervised learning and what it is all about. We will start this chapter by discussing the principles involved in different types of machine learning, with a particular focus on supervised learning. Then, we will look at various techniques used when training models. Finally, we will look at some common metrics that people use to judge how well an algorithm is performing.
The following topics will be covered in this chapter:
- Principles of machine learning
- Training models
- Evaluating models
