Introduction to Machine Learning

Chapter 1: What is Machine Learning?

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

Chapter 2: When should I use Machine Learning?

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

Chapter 3: When can I use Machine Learning?

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

Chapter 4: Regression

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

Chapter 5: Classification

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

Chapter 6: Clustering

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

Chapter 7: Other types of machine learning tasks

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