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

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)