Best Machine Learning & AI Books of 2024: Learn What’s Next in AI

Learn AI-assisted Python Programming

by Leo Porter, Daniel Zingaro

Explore AI-assisted Python coding with real-world tools and projects.

Print length: 336 pages

Published: October 29, 2024

ISBN: 978-1633435995 (ISBN10: 1633435997)

Machine Learning Production Systems

by Robert Crowe, Hannes Hapke, Emily Caveness, and Di Zhu

Build and maintain scalable, reliable machine learning production systems.

Print length: 472 pages

Published: December 3, 2024

ISBN: 978-1098156015 (ISBN10: 1098156013)

ChatGPT for Java: A Hands-on Developer's Guide to ChatGPT and Open AI APIs

by Bruce Hopkins

Integrate OpenAI and ChatGPT APIs into Java for smart, AI-powered applications.

Print length: 248 pages

Published: February 28, 2024

ISBN: 979-8868801150 (ISBN10: -)

Artificial Intelligence with Microsoft Power BI

by Jennifer Stirrup and Thomas J. Weinandy

Integrate AI and ML into Power BI for real-time, intelligent decision-making.

Print length: 470 pages

Published: May 7, 2024

ISBN: 978-1098112752 (ISBN10: 109811275X)

LLMs in Production: From language models to successful products

by Christopher Brousseau, Matthew Sharp

A complete guide to testing video games from quality assurance to playability checks.

Print length: 456 pages

Published: February 11, 2025

ISBN: 978-1633437203 (ISBN10: 1633437205)

Starting Data Analytics with Generative AI and Python

by Artur Guja, Marlena Siwiak, Marian Siwiak

It introduces foundational analytics techniques using Python, enhanced with the power of generative AI models.

Print length: 360 pages

Published: November 19, 2024

ISBN: 978-1633437210 (ISBN10: 1633437213)

Prompt Engineering for LLMs

by John Berryman, Albert Ziegler

It provides in-depth guidance on optimizing prompts for large language models, enhancing the accuracy and relevance of AI-generated content.

Print length: 280 pages

Published: December 10, 2024

ISBN: 978-1098156152 (ISBN10: 1098156153)

Distributed Machine Learning Patterns

by Yuan Tang

It offers practical techniques for scaling and deploying machine learning models in distributed environments to maximize efficiency and performance.

Print length: 248 pages

Published: January 2, 2024

ISBN: 978-1617299025 (ISBN10: 1617299022)