Section 1: Supervised Learning

Supervised learning is by far the most used machine learning paradigm in business. It’s the key to automating manual tasks. This section comprises the different algorithms available for supervised learning, and you will learn when to use each of them. We will also try to showcase different types of data, from tabular data to textual data and images.

This section comprises the following chapters:

• Chapter 1, Introduction to Machine Learning
• Chapter 2, Making Decisions with Trees
• Chapter 3, Making Decisions with Linear Equations
• Chapter 4, Preparing Your Data
• Chapter 5, Image Processing with Nearest Neighbors
• Chapter 6, Classifying Text Using Naive Bayes