The Sawbones Book
Justin McElroy, Sydnee McElroy
Published 2020
232 pages
The most popular computing books of 2020
Computing books cover computers, software and the digital world. Learn to program, understand artificial intelligence, protect your data or read the stories of the people and companies behind the technology. They range from beginner guides to professional references. This list shows the ones first published in 2020.
Results
The Reality Game
Samuel Woolley
Published 2020
288 pages
Design for Cognitive Bias
David Dylan Thomas
Published 2020
116 pages
Machine Learning Design Patterns
Michael Munn, Sara Robinson, Valliappa Lakshmanan
Published 2020
410 pages
Screen Kids 5 Relational Skills Every Child Needs in a Tech-driven World
Gary Chapman, Arlene Pellicane
Published 2020
208 pages
Deep Learning for Coders with fastai and PyTorch
Jeremy Howard, Sylvain Gugger
Published 2020
408 pages
Ballad of the Bullet Gangs, Drill Music, and the Power of Online Infamy
Forrest Stuart
Published 2020
273 pages
Connecting with Students Online Strategies for Remote Teaching & Learning
Jennifer Serravallo
Published 2020
171 pages
Analogia The Entangled Destinies of Nature, Human Beings and Machines
George Dyson
2020 · 2022 edition
304 pages
She Will Rise
Katie Hill
Published 2020
320 pages
Building Secure and Reliable Systems Best Practices for Designing, Implementing, and Maintaining Systems
Heather Adkins, Betsy Beyer, Paul Blankinship, Piotr Lewandowski, Ana Oprea, Adam Stubblefield
Published 2020
519 pages
X-Risk
Thomas Moynihan
Published 2020
272 pages
The Pentester BluePrint Starting a Career as an Ethical Hacker
Phillip L. Wylie, Kim Crawley
Published 2020
192 pages
Building Event-Driven Microservices
Adam Bellemare
Published 2020
385 pages
The Art of Steven Universe
Cartoon Network
Published 2020
104 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
SAFe 5.0 Distilled
Richard Knaster, Dean Leffingwell
Published 2020
320 pages
Legend of Zelda
Gabe Durham
Published 2020
52 pages
Resident Evil
Philip J. Reed, Lloyd Kaufman
Published 2020
52 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
Too Much Information
Cass R. Sunstein
2020 · 2022 edition
264 pages