Reviewing the main machine learning models

A machine learning model is an algorithm that can make predictions for some unseen data based on what it has learned from some training data. As already discussed in the preceding section, you can distinguish machine learning models into two categories, which depend on the specific task you want to solve: supervised models and unsupervised models.

Many machine learning models exist in the literature. In this section, you will review the most popular models used to perform supervised learning and unsupervised learning. We will focus on the following models in detail:

• Supervised learning
• Unsupervised learning

In the remainder of the section, you will review an introduction to the most popular machine learning models. For more details, you can read the books proposed in the Further reading section. Let’s start with the first category of models: supervised learning.

Supervised learning

A supervised algorithm...