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.