Introduction

In Chapter 4, Clustering with Unsupervised Learning, we have already addressed unsupervised learning. We said that unsupervised learning is a paradigm in machine learning where we build models without relying on labeled training data. Why return to this topic? In this case, we will discuss the problem of learning representations for data such as images, video, and the corpus of natural language, in an unsupervised way.