The most popular artificial intelligence books of 2024

Trustworthy AI

Ferhat Ozgur Catak, Murat Kuzlu

The Generative Shift

Jim Amorin

Blockchain and Machine Learning for IoT Security

Mourade Azrour

AI FOUNDATIONS OF LARGE LANGUAGE MODELS Easy to Read Guide Introducing the Foundations of Large...

Jon Adams

AI Foundations of Machine Learning

Jon Adams

Supremacy Winner of the Financial Times Business Book of the Year Award

Parmy Olson

Utilizing AI Tools in Academic Research Writing

Academic Integrity in the Age of Artificial Intelligence

Course Workbook for the Practitioner Degree

Joseph G. Mucha J.D., Thomas W. Harrison

The AI Conundrum

Caleb Briggs, Rex Briggs

GOAT World How to Avoid Population Collapse, Escape Worldwide Unemployment, and Build a Future of Life, Love, and Wealth for All Humanity

Paul J. Ebreo

Computing Intelligence in Capital Market

Asef Yelghi, Aref Yelghi, Mehmet Apan, Shirmohammad Tavangari

Innovative Technologies for Printing, Packaging and Digital Media

Huihui Song, Min Xu, Li Yang, Linghao Zhang, Shu Yan

Generative AI for Academics

Mark Carrigan

Data Science and Big Data Analytics Proceedings of IDBA 2023

Xin-She Yang, Aynur Unal, Dharm Singh Jat, Durgesh Mishra

Big Data and Data Science Engineering Volume 6

Roger Lee

Biomedical Image Analysis Special Applications in MRIs and CT scans

Pritpal Singh

Your AI Roadmap Actions to Expand Your Career, Money, and Joy

Joan Palmiter Bajorek

Artificial Intelligence and Business Transformation Impact in HR Management, Innovation and Technology Challenges

Domingo Ribeiro Soriano, Alba Yela Aránega, María Teresa del Val Núñez

Technology-Driven Business Innovation Unleashing the Digital Advantage, Volume 1

Rim El Khoury

Distributed Computing and Intelligent Technology 21st International Conference, ICDCIT 2025, Bhubaneswar, India, January 8–11, 2025, Proceedings

Stéphane Devismes, Partha Sarathi Mandal, Krishnendu Mukhopadhyaya, Quentin Bramas, V. Vijaya Saradhi, Bapi Chatterjee, Malcolm Egan

Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering

Stefan Sandfeld

Progressive Decision-Making Tools and Applications in Project and Operation Management Approaches, Case Studies, Multi-criteria Decision-Making, Multi-objective Decision-Making, Decision under Uncertainty

Mohammad Yazdi

Machine Learning Applications for Intelligent Energy Management Invited Chapters from Experts on the Energy Field

Haris Doukas, Vangelis Marinakis, Elissaios Sarmas