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Top AI Books

Top 100 List

  1. Human Compatible by Stuart J. Russell (2019)
  2. Life 3.0 by Max Tegmark (2017)
  3. Artificial Intelligence: A Modern Approach by Peter Norvig (1995)
  4. Superintelligence: Paths, Dangers, Strategies by Nick Bostrom (2014)
  5. Deep Learning by Yoshua Bengio (2015)
  6. The Alignment Problem by Brian Christian (2020)
  7. The Master Algorithm by Pedro Domingos (2015)
  8. Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell (2019)
  9. AI 2041: Ten Visions for Our Future by Kai-Fu Lee (2021)
  10. AI Superpowers by Kai-Fu Lee (2018)
  11. Gödel, Escher, Bach: an Eternal Golden Braid by Douglas Hofstadter (1979)
  12. The Hundred-page Machine Learning Book by Andriy Burkov (2019)
  13. Artificial Intelligence for Humans by Jeff Heaton (2013)
  14. The Society of Mind by Marvin Minsky (1986)
  15. Artificial Intelligence Basics: A Non-Technical Introduction by Tom Taulli (2019)
  16. Genius Makers by Cade Metz (2021)
  17. Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning by James V. Stone (2019)
  18. Applied Artificial Intelligence: A Handbook for Business Leaders by Adelyn Zhou (2017)
  19. A World Without Work: Technology, Automation and How We Should Respond by Daniel Susskind (2020)
  20. The Singularity Is Near: When Humans Transcend Biology by Ray Kurzweil (2005)
  21. Neural Networks and Deep Learning: A Textbook by Charu C. Aggarwal (2018)
  22. The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford (2021)
  23. Artificial Intelligence: A Modern Approach by Peter Norvig (2020)
  24. Rebooting AI: Building Artificial Intelligence We Can Trust by Gary Marcus (2019)
  25. The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma by Mustafa Suleyman (2023)
  26. Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies by John D. Kelleher (2015)
  27. Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World by Mo Gawdat (2021)
  28. How to Create a Mind: The Secret of Human Thought Revealed by Ray Kurzweil (2012)
  29. Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills, 2nd Edition by Denis Rothman (2020)
  30. Artificial Intelligence For Dummies by John Mueller (2018)
  31. A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going by Michael Wooldridge (2021)
  32. Algorithms to Live By: The Computer Science of Human Decisions by Thomas L. Griffiths (2016)
  33. On Intelligence by Jeff Hawkins (2004)
  34. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson (2014)
  35. Our Final Invention by James Barrat (2013)
  36. The Political Philosophy of AI: An Introduction by Mark Coeckelbergh (2022)
  37. The Age of AI: And Our Human Future by Henry Kissinger (2021)
  38. Pattern Recognition and Machine Learning by Christopher Bishop (2006)
  39. The ChatGPT Millionaire: Making Money Online Has Never Been this Easy by Neil Dagger (2023)
  40. A Brief History of Intelligence: Why the Evolution of the Brain Holds the Key to the Future of AI by Max Bennett (2023)
  41. Human + Machine: Reimagining Work in the Age of AI by H. James R. Wilson (2018)
  42. How to Make Money Online Using ChatGPT: Quit Your Day Job and Earn Full-Time Income Using ChatGPT Even If You Have Zero Experience (A Complete Easy-to-Understand and Up-to-Date Guide for Beginners) by Andrew Harrisson (2023)
  43. The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications by Kavita Ganesan (2022)
  44. Weapons of Math Destruction by Cathy O'Neil (2016)
  45. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurelien Geron (2022)
  46. Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future by Vijay Govindarajan (2024)
  47. The Coming Wave: The Instant Sunday Times Bestseller from the Ultimate AI Insider by Mustafa Suleyman (2023)
  48. Designing Machine Learning Systems by Chip Huyen (2022)
  49. How AI Thinks: Harnessing the Electrifying Intelligence of Machines by Nigel Toon (2024)
  50. Make Your Own Neural Network: A Gentle Journey Through the Mathematics of Neural Networks, and Making Your Own Using the Python Computer Language by Tariq Rashid (2016)
  51. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel (2016)
  52. Machine Learning Yearning by Andrew Ng (2018)
  53. The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind by Marvin Minsky (2006)
  54. Python Machine Learning by Sebastian Raschka (2015)
  55. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost & Tom Fawcett (2013)
  56. The AI Does Not Hate You: Superintelligence, Rationality and the Race to Save the World by Tom Chivers (2019)
  57. AIQ: How People and Machines Are Smarter Together by Nick Polson & James Scott (2018)
  58. Machine Learning: A Probabilistic Perspective by Kevin P. Murphy (2012)
  59. Introduction to Artificial Intelligence by Philip C. Jackson (1985)
  60. The Book of Why: The New Science of Cause and Effect by Judea Pearl (2018)
  61. The Creativity Code: Art and Innovation in the Age of AI by Marcus du Sautoy (2019)
  62. AI at War: How Big Data, Artificial Intelligence, and Machine Learning Are Changing Naval Warfare by George Galdorisi (2021)
  63. Machines That Think: The Future of Artificial Intelligence by Toby Walsh (2018)
  64. Bayesian Reasoning and Machine Learning by David Barber (2012)
  65. The Ethical Algorithm: The Science of Socially Aware Algorithm Design by Michael Kearns & Aaron Roth (2019)
  66. Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD by Jeremy Howard & Sylvain Gugger (2020)
  67. The Sentient Machine: The Coming Age of Artificial Intelligence by Amir Husain (2017)
  68. Deep Learning (Adaptive Computation and Machine Learning series) by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016)
  69. Robot Ethics 2.0: From Autonomous Cars to Artificial Intelligence by Patrick Lin, Keith Abney, and Ryan Jenkins (eds.) (2017)
  70. The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity by Amy Webb (2019)
  71. Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard (2018)
  72. AI for People and Business: A Framework for Better Human Experiences and Business Success by Alex Castrounis (2019)
  73. T-Minus AI: Humanity’s Countdown to Artificial Intelligence and the New Pursuit of Global Power by Michael Kanaan (2020)
  74. Machine Learning for Asset Managers by Marcos López de Prado (2020)
  75. Girl Decoded: A Scientist's Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology by Rana el Kaliouby (2020)
  76. Architects of Intelligence: The Truth About AI from the People Building It by Martin Ford (2018)
  77. Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems by Bernard Marr (2019)
  78. AIQ: How Artificial Intelligence Works and How We Can Harness Its Power for a Better World by Nick Polson & James Scott (2018)
  79. Building AI Applications: A Hands-on Approach by Adam D. Lelkes & Bálint Miklós (2021)
  80. An Introduction to Machine Learning by Miroslav Kubat (2017)
  81. AI for Game Development: A Practical Guide to Integrating Machine Learning and Artificial Intelligence in Games by Ahmad Beirami & Edward Jack (2021)
  82. The AI Delusion by Gary Smith (2018)
  83. Artificial Condition: The Murderbot Diaries by Martha Wells (2018)
  84. The Road to Conscious Machines: The Story of AI by Michael Wooldridge (2020)
  85. Machine Learning: The New AI by Ethem Alpaydin (2016)
  86. Do Robots Make Love? From AI to Immortality – Understanding Transhumanism in 12 Questions by Laurent Alexandre & Jean-Michel Besnier (2018)
  87. The Age of Em: Work, Love, and Life when Robots Rule the Earth by Robin Hanson (2016)
  88. The AI Economy: Work, Wealth and Welfare in the Robot Age by Roger Bootle (2019)
  89. The Future of Leadership: Rise of Automation, Robotics and Artificial Intelligence by Brigette Tasha Hyacinth (2017)
  90. The Formula: The Universal Laws of Success by Albert-László Barabási (2018)
  91. Machine Learning: The Art and Science of Algorithms that Make Sense of Data by Peter Flach (2012)
  92. Artificial You: AI and the Future of Your Mind by Susan Schneider (2019)
  93. Automating Humanity by Joe Toscano (2018)
  94. Artificial Intelligence: Structures and Strategies for Complex Problem Solving by George F. Luger (2008)
  95. In Our Own Image: Savior or Destroyer? The History and Future of Artificial Intelligence by George Zarkadakis (2016)
  96. The AI Book: The Artificial Intelligence Handbook for Investors, Entrepreneurs and FinTech Visionaries by Susanne Chishti, Ivana Bartoletti, Anne Leslie, & Shân M. Millie (eds.) (2020)
  97. The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You by Mike Walsh (2019)
  98. AI Narratives: A History of Imaginative Thinking about Intelligent Machines by Stephen Cave, Kanta Dihal, and Sarah Dillon (eds.) (2020)
  99. Human Frontiers: The Future of Big Data, Analytics, and Artificial Intelligence by Michael Gleaves, Peter Warren, and Mark S. Johnstone (2020)
  100. Beyond Deep Learning: Embracing the Hidden Layers of Artificial Intelligence by Matthias Dehmer, Frank Emmert-Streib, & Stefan Pickl (eds.) (2021)

This comprehensive list encompasses a wide range of topics within the field of AI, including ethical considerations, technological advancements, practical applications, and speculative futures.

Top 100 Table

Rank Name Category
1 Human Compatible by Stuart J. Russell (2019) Ethical and Societal Implications
2 Life 3.0 by Max Tegmark (2017) Speculative and Future Outlooks
3 Artificial Intelligence: A Modern Approach by Peter Norvig (1995) Foundational Concepts
4 Superintelligence: Paths, Dangers, Strategies by Nick Bostrom (2014) Ethical and Societal Implications
5 Deep Learning by Yoshua Bengio (2015) Technological Advances
6 The Alignment Problem by Brian Christian (2020) Ethical and Societal Implications
7 The Master Algorithm by Pedro Domingos (2015) Technological Advances
8 Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell (2019) Foundational Concepts
9 AI 2041: Ten Visions for Our Future by Kai-Fu Lee (2021) Speculative and Future Outlooks
10 AI Superpowers by Kai-Fu Lee (2018) Practical Applications