In this chapter, we're going to explore the different ways to categorize the types of tasks that machine learning (ML) can accomplish, and categorize the ML algorithms themselves. There are many different ways to organize the ML landscape; we can categorize algorithms by the type of training data we give them, we can categorize by the type of output we expect from the algorithms, we can categorize algorithms by their specific methods and tactics, we can categorize them by the format of the data they work with, and so on.
As we discuss the different types and categories of ML tasks and algorithms throughout this chapter, we'll also introduce many of the algorithms that you'll encounter throughout this book. Only the high-level concepts of algorithms will be discussed in this chapter, allowing us to go into detail in later chapters...
