Introducing this chapter
During this chapter, we will talk about several algorithms, modeling concepts, and learning strategies. We think all these topics will be beneficial for you during the exam and your data scientist career.
We have structured this chapter in a way so that it covers not only the necessary topics of the exam but also gives you a good sense of the most important learning strategies out there. For example, the exam will check your knowledge regarding the basic concepts of K-means; however, we will cover it on a much deeper level, since this is an important topic for your career as a data scientist.
We will follow this approach, looking deeper into the logic of the algorithm, for some types of models that we feel every data scientist should master. So, keep that in mind: sometimes, we might go deeper than expected in the exam, but that will be extremely important for you.
Many times, during this chapter, we will use the term built-in algorithms. We will use...