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AI & Data Books and Reading List

Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to apply AI and data using hands-on approaches and the latest technologies?

Check out these hand-selected books that can help you expand your knowledge or put your knowledge to use. Have other books you’d like to see on the list? Send us a message at and we’ll check it out!
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Fundamental AI Concepts

The Fundamentals of Artificial Intelligence (Vol. 1)
Published by the AI Club, with a primary focus on the K-12 audience, this book provides a good grounding of basic AI concepts for those just learning what it’s all about.
Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence)
For those looking for a more “adult” book on the fundamentals of AI, the industry standard, university-quality book that provides a comprehensive,fundamental understanding of AI concepts is Artificial Intelligence: A Modern Approach, now in its 4th edition, part of Pearson’s Series in Artificial Intelligence.

AI Development & Programming

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
This essential machine learning development book by O’Reilly covers the most important fundamentals for machine learning development across many different algorithms and different toolkits. This is a must-have for any machine learning engineer or developer looking to build machine learning models from the ground up.
Reinforcement Learning, second edition: An Introduction
Reinforcement learning is the key to advanced models such as DeepMind’s AlphaGo as well as one of the components that makes ChatGPT work. This book is the fundamental, must-read on reinforcement learning written by Richard Sutton and Andrew Barto.
Pattern Recognition and Machine Learning
The cornerstone of machine learning is pattern recognition, and understanding how it works is key to making AI a reality. This fundamental book is a must-read for those who are looking to get a fundamental understanding of the pattern recognition concepts behind machine learning and the various algorithms that implement those pattern recognition systems.

AI Ethics, Philosophy, and Popular Science

Life 3.0: Being Human in the Age of Artificial Intelligence
One of the most impactful books on what AI means for us in society and where things might be heading, by pre-eminent AI thought leader and researcher Max Tegmark. Worth reading!
Superintelligence: Paths, Dangers, Strategies
A definitive book by Nick Bostrom on the Superintelligence. It popularized the idea of the “paperclip maximizer” and other thoughts around the Singularity. Read to get up to speed!
Our Final Invention: Artificial Intelligence and the End of the Human Era
Written by acclaimed author James Barrat, Our Final Invention is a must-read on AI ethics and future possibilities. Elon Musk named Our Final Invention one of 5 books everyone should read about the future, and this book was a Huffington Post Definitive Tech Book of 2013.
Rebooting AI: Building Artificial Intelligence We Can Trust
This no holds-barred book written by notable AI resesarchers and thought leaders Gary Marcus and Ernest Davis tackles the challenge of modern AI and outlines steps society must take to ensure that AI systems are robust and trustworthy.
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Cathy O’Neill wrote an instant classic with her book Weapons of Math Destruction, highlighting the dangers of algorithmic decision making and biased data sets. This book highlights key ethical and responsible considerations for systems of any type that are depenedent on data to provide value.

AI History

Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World
Written by New York Times columnist Cade Metz, Genius Makers interviews hundreds of AI experts and notable figures, with a focus on some of the key makers of this latest wave of AI including Geoff Hinton, Fei-Fei Li, Demis Hassabis, Yann Lecun, Jeff Dean, and others.

ChatGPT and Large Language Models (LLMs)

The ChatGPT Millionaire: Making Money Online has never been this EASY
Taking full advantage of the hype surrounding ChatGPT, this book takes a business and income-oriented look at ChatGPT and GPT-4 to focus on ways to earn passive income and take advantage of the capabilities and wave of interest in ChatGPT.
Mastering GPT-4: A Comprehensive Guide to Harnessing the Power of AI
Focusing on GPT-4 and the capabilities of OpenAI’s ChatGPT model, this book provides an in-depth look into GPT4’s architecture, prompt engineering, real world applications and use cases, and even ways to network and connect with those in the GPT community.

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