This book is a deep dive into the exciting world of machine learning. What's unique about this book is the clarity with which it explains concepts from first principles and teaches by example in a way that is accessible to a wide audience. You will learn how to implement key algorithms from scratch and compare your code against proven machine learning libraries.
The discussion in this book is backed by mathematical principles and includes from-scratch coding exercises that help you gain a deeper understanding of the subject. By reading this book, you will be learning something new, whether you are a beginner or an experienced machine learning practitioner. True to its title, you will learn about a number of interesting applications, ...
