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

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)

Generative AI for Cloud Solutions

by Paul Singh, Anurag Karuparti

This book provides a comprehensive guide to integrating AI into cloud systems, enabling smarter, more efficient operations.

Print length: 300 pages

Published: April 22, 2024

ISBN: 978-1835084786 (ISBN10: 1835084788)

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)

Data Labeling in Machine Learning with Python

by Vijaya Kumar Suda

The book provides a comprehensive guide to data labeling, featuring practical techniques, tools, and real-world examples for effective machine learning projects.

Print length: 398 pages

Published: January 31, 2024

ISBN: 978-1804610541 (ISBN10: 1804610542)