Machine Learning in Quantitative Finance: From Linear Regression to Deep Reinforcement Learning for Trading Systems: Practical Guide to AI-Powered Models, ...

by Vincent Bisette, Danny Munrow (Editor), Reactive Publishing

Reactive PublishingDiscover the power of machine learning to build next-generation trading systems.

In this comprehensive guide, Vincent Bisette takes you on a hands-on journey through the core algorithms and applications of machine learning in modern quantitative finance. From the foundational principles of linear regression and support vector machines to advanced techniques in deep learning and reinforcement learning, this book bridges theory with real-world implementation. You'll learn how to build models that adapt to market dynamics, capture alpha, and manage risk in algorithmic trading.

Whether you’re a quant, data scientist, or trader seeking to elevate your edge, this book equips you with the tools to deploy scalable, intelligent trading systems. Featuring Python examples, case studies, and system architecture blueprints, it’s a must-read for anyone serious about the future of finance.

637 pages, Kindle Edition

Published May 2, 2025