Artificial Intelligence and Machine Learning

This chapter provides an introduction to machine learning tools and techniques used for devising predictive models. Section 1 discusses the traditional machine learning methods and techniques for regression, classification, and clustering analysis. In Section 2, we start with an introduction to neural networks and deep learning, followed by subsections discussing the appropriate structure of a neural network for different tasks such as regression, classification, computer vision, and natural language processing. Section 3 will briefly discuss models’ interpretability, and in Section 4, recent advancements in machine learning and deep learning will be reviewed. Each section is accompanied by code examples in Python demonstrating popular libraries used for different tasks, from reading the data to implementing a deep learning model.