How to be Fine What We Learned from Living by the Rules of 50 Self-help Books
Kristen Meinzer, Jolenta Greenberg
Published 2020
239 pages
The most popular artificial intelligence books of 2020
Books on artificial intelligence explain machines that learn and reason. How the technology works, what it can and cannot do, and what it means for jobs, creativity and society are all explored. You will find clear introductions for general readers and technical texts for people building these systems. This list shows the ones first published in 2020.
Results
The Alignment Problem
Brian Christian
Published 2020
496 pages
The Precipice Existential Risk and the Future of Humanity
Toby Ord
2020 · 2021 edition
480 pages
The Infinite Machine How an Army of Crypto-hackers is Building the Next Internet with Ethereum
Camila Russo, Laura Jennings
Published 2020
332 pages
Competing in the Age of AI
Marco Iansiti, Karim R. Lakhani, Marco Iantisi
Published 2020
280 pages
The Zoologist's Guide to the Galaxy What Animals on Earth Reveal About Aliens--and Ourselves
Arik Kershenbaum
2020 · 2021 edition
368 pages
Girl Decoded A Scientist's Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology
Rana el Kaliouby
2020 · 2021 edition
352 pages
AI Ethics
Mark Coeckelbergh
Published 2020
248 pages
Privacy is Power Why and How You Should Take Back Control of Your Data
Carissa Véliz
2020 · 2022 edition
320 pages
2084 Artificial Intelligence and the Future of Humanity
John C. Lennox
Published 2020
240 pages
Always Day One
Alex Kantrowitz
2020 · 2021 edition
272 pages
T-Minus AI Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power
Michael Kanaan
Published 2020
304 pages
I Forced a Bot to Write This Book A. I. Meets B. S.
Keaton Patti
Published 2020
192 pages
Reprogramming The American Dream
Greg Shaw, Kevin Scott
Published 2020
309 pages
The Road to Conscious Machines The Story of AI
Michael Wooldridge
2020 · 2021 edition
416 pages
The Reality Game
Samuel Woolley
Published 2020
288 pages
Machine Learning Design Patterns
Michael Munn, Sara Robinson, Valliappa Lakshmanan
Published 2020
410 pages
Deep Learning for Coders with Fastai and PyTorch AI Applications Without a PhD
Sylvain Gugger, Jeremy Howard
Published 2020
594 pages
X-Risk
Thomas Moynihan
Published 2020
272 pages
Build a Career in Data Science
Jacqueline Nolis, Emily Robinson
Published 2020
354 pages
Think for Yourself Restoring Common Sense in an Age of Experts and Artificial Intelligence
Vikram Mansharamani
Published 2020
304 pages
Algorithms
Panos Louridas
Published 2020
312 pages
Mathematics for Machine Learning
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Published 2020
398 pages
Deep Learning with PyTorch Build, train, and tune neural networks using Python tools
Eli Stevens, Luca Antiga, Thomas Viehmann
Published 2020
520 pages