AI Books
A reading list.
128 of 128 shown
Year
Publisher
AI 2041: Ten Visions for Our Future
AI Engineering: Building Applications with Foundation Models
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
An Ugly Truth
ANSI Common Lisp
Architects of Intelligence
Artificial Intelligence
Artificial Intelligence: A Modern Approach (4th Edition)
Artificial Unintelligence
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
Beyond the Jagged Frontier
Broken Code
Build a Large Language Model (From Scratch)
Careless People
Causality
Character Limit
Co-Intelligence: Living and Working with AI
Conspiracy
Deep Learning
Deep Learning for Coders with fastai and PyTorch
Deep Learning: Foundations and Concepts
Deep Learning with Python, Second Edition
Deep Learning with Python, Third Edition
Designing Machine Learning Systems
Deterrence under Uncertainty :
Dogfight
Elon Musk
Elon Musk
Elon Musk
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
Ethical Algorithm
Foundations of Statistical Natural Language Processing
Fundamentals of Data Engineering
Generative AI in Practice
Genius Makers
Genius Makers: The Mavericks Who Brought A.I. to Google, Facebook, and the World
Genius of Facebook
Gilded Rage
Googled
Googled
Hands-On Large Language Models
Hands-On Machine Learning with Scikit-Learn and PyTorch
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3rd Edition)
High noon
Homo deus
How to Create a Mind: The Secret of Human Thought Revealed
Human Compatible
Human Compatible: Artificial Intelligence and the Problem of Control
If Anyone Builds It, Everyone Dies
Impromptu: Amplifying Our Humanity Through AI
In the Plex
Introduction to Information Retrieval
Kluge: The Haphazard Evolution of the Human Mind
Large Language Model-Based Solutions
Legged Robots That Balance
Li Yanhong
Life 3.0: Being Human in the Age of Artificial Intelligence
Liftoff
Liftoff
LLM Engineers Handbook
Ludicrous
Machine Learning
Machine Learning: A Probabilistic Perspective
Machine Learning Engineering
Machine Learning with PyTorch and Scikit-Learn
Marc Andreessen
Marc Andreessen and the development of the Web browser
Marc Andreesson:Web Warrior (Techies)
Mark Zuckerberg
MLOps Engineering at Scale
Muskism
Natural Language Processing with Transformers
Natural Language Processing with Transformers, Revised Edition
Nvidia Way
On Lisp
Pattern Recognition and Machine Learning
Perceptrons - Expanded Edition
Philosopher in the Valley
Power and Prediction
Power and Progress
Power Play
Prediction machines
Probabilistic Graphical Models: Principles and Techniques
Probabilistic Machine Learning: Advanced Topics
Probabilistic Machine Learning: An Introduction
Prompt Engineering for Generative AI
Prompt Engineering for LLMs
Python Machine Learning
Raising AI
Rebooting AI: Building Artificial Intelligence We Can Trust
Reentry
Second Machine Age
Sergey Brin, Larry Page, Eric Schmidt, and Google
Speeding the Net
Superagency
Superintelligence
Supremacy
The Age of AI: And Our Human Future
The Age of Intelligent Machines
The Age of Spiritual Machines: When Computers Exceed Human Intelligence
The AI Con
The Algebraic Mind: Integrating Connectionism and Cognitive Science
The Alignment Problem
The Everything Blueprint
The Founders
The Google story
The Hundred-Page Machine Learning Book
The infinity machine
The launch pad
The master algorithm
The Optimist: Sam Altman, OpenAI, and the Race to Invent the Future
The Precipice
The Singularity Is Near: When Humans Transcend Biology
The Singularity Is Nearer: When We Merge with AI
The space barons
The Technological Republic: Hard Power, Soft Belief, and the Future of the West
The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI
Think Like Zuck The Five Business Secrets Of Facebooks Improbably Brilliant Ceo Mark Zuckerberg
Thinking Machine
Transformers for Machine Learning
Unmasking AI
Weapons of Math Destruction
What Is ChatGPT Doing ... and Why Does It Work?
You only have to be right once
Zucked