Hands-On Python Deep Learning for the Web

Revisiting the fundamentals of ML

We have already seen what is meant by ML. In this section, we will focus on several terminologies such as supervised learning and unsupervised learning, and we will be taking a look at the steps involved in a standard ML workflow. But you may ask: why ML? We are supposed to learn about the applications of DL in this book. We just learned that DL is a type of ML only. Therefore, a quick overview of the basic ML-related concepts will certainly help. Let's start with several types of ML and how they differ from each other.