What books are Artificial Intelligence and Machine Learning experts reading?

By Kimberly Cook |Email | Sep 23, 2018 | 23448 Views

Book recommendations by artificial intelligence and machine learning experts

We created a list of artificial intelligence and machine learning experts from different companies, startups, and universities - and scanned their Twitter profiles for book recommendations.

Below you can see 20 book recommendations for books on artificial intelligence, machine learning, psychology, the future, and more

1. Life 3.0: Being Human in the Age of Artificial Intelligence
Recommended by Elon Musk, CEO of SpaceX, Tesla, and Neuralink

Worth reading Life 3.0 by @Tegmark. AI will be the best or worst thing ever for humanity, so let's get it right (Source)

2. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
Recommended by Hilary Mason, VP Research at Cloudera

If you love the future (tech and economics) you should read The Second Machine Age by Erik Brynjolfsson and Andrew McAfee (Source)

3. Homo Deus
Recommended by Martin Ford, Futurist & NY Times bestselling author

Enjoying Yuval Harari's new book. A fascinating but scary take on the future of humanity (Source)

4. The Glass Bead Game
Recommended by Demis Hassabis, CEO of DeepMind

Really reminds me of one of my favorite books of all-time: "The Glass Bead Game" by the incomparable Hermann Hesse (Source)

5. Seveneves: A Novel
Recommended by David Brin, Scientist, Futurist, and Author (The Postman, Earth, Existence, The Transparent Society)

 Absolutely, SevenEves was a fascinating read about human destiny and the will to survive! (Source)

6. The Machine Stops
Recommended by Elon Musk, CEO of SpaceX, Tesla, and Neuralink

Worth reading The Machine Stops, an old story by E. M. Forster (Source)

7. The Man Who Lied to His Laptop: What We Can Learn About Ourselves from Our Machines
Recommended by James Cham, VC at Bloomberg Beta

 there is also much to learn from his book The Man Who Lied To His Laptop (Source)

8. The Seven Deadly Sins of Psychology: A Manifesto for Reforming the Culture of Scientific Practice
Recommended by John Myles White, Data Scientist at Facebook

Over the weekend, I read Chris Chambers' "The Seven Deadly Sins of Psychology" and thought it was great (Source)

9. Profiles of the Future: An Inquiry into the Limits of the Possible
Recommended by Andrej Karpathy, Director of AI at Tesla

Finished reading Arthur C. Clarke's "Profiles of the Future" (1960!); 5/5 An excellent read on predicting the future (Source)

10. Terms of Enlistment
Recommended by Hadley Wickham, Chief Scientist at RStudio

I thoroughly enjoyed this series and the first book is on sale for $0.99 (Source)

11. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Recommended by Sebastian Raschka, PhD student at Michigan State University

 that's one of my favorite books, really great read. Had the hardcover, but I bet the audiobook version is pretty enjoyable as well! (Source)

12. Why Don't Students Like School: A Cognitive Scientist Answers Questions About How the Mind Works and What It Means for the Classroom
Recommended by Andrew Ng, Co-Founder of Coursera, former Chief Scientist at Baidu

Why Don't Students Like School-Great book on applying cogsci principles to teach better? Loved this! (Source)

13. Turing's Cathedral: The Origins of the Digital Universe
Recommended by Jack Clark, Strategy and Communications Director @ OpenAI

 Turing's Cathedral by George Dyson - a marvelous book (Source)

14. Flourish: A Visionary New Understanding of Happiness and Well-being
Recommended by Dr. Angelica Lim, Ph.D. in AI, Robotics, and Emotions

One book I can recommend is Flourish, by Martin Seligman (Source)

15. Algorithms to Live By: The Computer Science of Human Decisions
Recommended by Pedro Domingos, Professor of CS at UW

What algorithms teach us about life - fascinating book by Brian Christian and Tom Griffiths (Source)

16. Our Final Invention: Artificial Intelligence and the End of the Human Era
Recommended by Elon Musk, CEO of SpaceX, Tesla, and Neuralink

While on the subject of AI risk, Our Final Invention by James Barrat is also worth reading (Source)

17. Phenotypic Evolution: A Reaction Norm Perspective
Recommended by Jason H. Moore, Director, and Professor at University of Pennsylvania

One of my favorite genetics books - Phenotypic #evolution: A reaction norm perspective (Source)

18. Blindsight
Recommended by Zachary Lipton, Assistant Professor at Carnegie Mellon

 Is consciousness of any kind required for intelligence? On topic: Sci-fi book recommendation: Blindsight by Peter Watts (Source)

19. The Making of the Atomic Bomb
Recommended by Hilary Mason, VP Research at Cloudera

 I loved that book. And I am very interested in the broad topic beyond just computing (Source)

Recommended by Eder Santana, AI Researcher

 Did you read Cal Newport's book too, Mariya? The one on Deep Work? I loved it (Source)

Source: HOB