Books

Curated reading list for every stage of your AI journey

Beginner AI

Accessible introductions to artificial intelligence for newcomers

Life 3.0: Being Human in the Age of Artificial Intelligence
Max Tegmark

Life 3.0: Being Human in the Age of Artificial Intelligence

Max Tegmark

A sweeping exploration of how AI will transform every aspect of our future, from jobs to justice to war to our very sense of being human, written by an MIT professor and AI safety pioneer.

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Artificial Intelligence: A Guide for Thinking Humans
Melanie Mitchell

Artificial Intelligence: A Guide for Thinking Humans

Melanie Mitchell

A nuanced exploration of what AI can and cannot do, cutting through hype to explain the real state of machine intelligence.

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You Look Like a Thing and I Love You
Janelle Shane

You Look Like a Thing and I Love You

Janelle Shane

A hilarious and accessible look at how AI learns, why it fails, and what happens when algorithms encounter the real world.

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Hello World: Being Human in the Age of Algorithms
Hannah Fry

Hello World: Being Human in the Age of Algorithms

Hannah Fry

Explores how algorithms shape our daily lives, from healthcare to criminal justice, with clarity and wit.

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AI for Business

Strategic frameworks for leveraging AI in organizations

Prediction Machines
Ajay Agrawal, Joshua Gans, Avi Goldfarb

Prediction Machines

Ajay Agrawal, Joshua Gans, Avi Goldfarb

A framework for understanding AI as a tool that dramatically reduces the cost of prediction, reshaping business strategy.

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AI Superpowers: China, Silicon Valley, and the New World Order
Kai-Fu Lee

AI Superpowers: China, Silicon Valley, and the New World Order

Kai-Fu Lee

A groundbreaking look at how China has caught up to the US in AI, the coming upheaval of traditional jobs, and the global power dynamics of artificial intelligence.

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Human + Machine
Paul R. Daugherty, H. James Wilson

Human + Machine

Paul R. Daugherty, H. James Wilson

How leading organizations are reimagining processes at the intersection of human skills and AI capabilities.

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Power and Prediction
Ajay Agrawal, Joshua Gans, Avi Goldfarb

Power and Prediction

Ajay Agrawal, Joshua Gans, Avi Goldfarb

The disruptive economics of AI and how it transforms decision-making across industries and institutions.

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LLMs & Agents

Deep dives into large language models, prompting, and agentic systems

Superintelligence: Paths, Dangers, Strategies
Nick Bostrom

Superintelligence: Paths, Dangers, Strategies

Nick Bostrom

The definitive examination of what happens when machines surpass human intelligence, exploring the risks and strategies for ensuring a safe transition to superintelligent AI.

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Natural Language Processing with Transformers
Lewis Tunstall, Leandro von Werra, Thomas Wolf

Natural Language Processing with Transformers

Lewis Tunstall, Leandro von Werra, Thomas Wolf

A hands-on guide to building NLP applications with the Hugging Face ecosystem, from sentiment analysis to text generation.

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Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World
Cade Metz

Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World

Cade Metz

The riveting inside story of the brilliant minds behind the AI revolution, from the eccentric pioneers to the tech giants racing to harness its power.

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Co-Intelligence: Living and Working with AI
Ethan Mollick

Co-Intelligence: Living and Working with AI

Ethan Mollick

A practical guide for working alongside AI from a Wharton professor, covering prompting strategies and real-world use cases.

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Advanced AI

Technical references for practitioners and researchers

Deep Learning
Ian Goodfellow, Yoshua Bengio, Aaron Courville

Deep Learning

Ian Goodfellow, Yoshua Bengio, Aaron Courville

The definitive textbook on deep learning, covering mathematical foundations, architectures, and research frontiers.

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Reinforcement Learning: An Introduction
Richard S. Sutton, Andrew G. Barto

Reinforcement Learning: An Introduction

Richard S. Sutton, Andrew G. Barto

The foundational text on reinforcement learning, from bandits to deep RL and policy gradient methods.

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Probabilistic Machine Learning: Advanced Topics
Kevin P. Murphy

Probabilistic Machine Learning: Advanced Topics

Kevin P. Murphy

A comprehensive graduate-level reference covering modern approaches to probabilistic modeling and inference.

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The Alignment Problem
Brian Christian

The Alignment Problem

Brian Christian

An exploration of the challenge of aligning AI systems with human values, drawing on cutting-edge research and philosophy.

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