Preface

Aided by the availability of vast amounts of data computing resources, machine learning (ML) has made big strides. The financial industry, which at its heart is an information processing enterprise, holds an enormous amount of opportunity for the deployment of these new technologies.

This book is a practical guide to modern ML applied in the financial industry. Using a code-first approach, it will teach you how the most useful ML algorithms work, and how to use them to solve real-world problems