In this introduction, we’ll discuss what machine learning is and how it differs from traditional computer science.

In this chapter, you’ll gain a better understanding of what tasks machine learning is able to solve best.

In this chapter, we’ll discuss what prerequisites you need to be able to solve a task using Machine Learning.

In this chapter, you’ll learn more about regression, a common supervised task.

In this chapter, you’ll learn more about classification, a specific case of regression.

In this chapter you’ll learn about clustering, a great example of unsupervised learning.

This last chapter will discuss some other machine learning tasks, including reinforcement learning and anomaly detection.