Chapter 1: Introduction to Machine Learning and Deep Learning

Throughout this book, we will use the term machine learning to refer to both traditional machine learning and deep learning. Supervised learning is focused on predictive modeling tasks, that is, modeling the relationship between features extracted from the data and one or multiple target variables or labels. While supervised learning is based on labeled data, unsupervised learning aims to model the hidden structure in data without label information. Finally, reinforcement learning is concerned with developing reward systems to model complex decision processes and learning series of actions. Supervised learning is concerned with predicting a target value given input observations.