Introducing this chapter
During this chapter, you will read about several algorithms, modeling concepts, and learning strategies. All these topics are beneficial for you to know for the exam and throughout your career as a data scientist.
This chapter has been structured in such a way that it not only covers 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, this chapter will cover it on a much deeper level, since this is an important topic for your career as a data scientist.
The chapter will follow this approach of looking deeper into the algorithms’ logic for some types of models that every data scientist should master. Furthermore, keep this in mind: sometimes you may go deeper than what is expected of you in the exam, but that will be extremely important for you in your career.
Many times during this...
