The Car That Knew Too Much
Jean-François Bonnefon
Published 2021
176 pages
The most popular artificial intelligence books of 2021
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 2021.
Results
Data Governance
Uri Gilad, Valliappa Lakshmanan, Evren Eryurek, Anita Kibunguchy-Grant, Jessi Ashdown, Anita Kibunguchy
Published 2021
293 pages
Drone Wars Pioneers, Killing Machines, Artificial Intelligence, and the Battle for the Future
Seth J. Frantzman
Published 2021
288 pages
Grokking Machine Learning
Luis Serrano
Published 2021
512 pages
History, Disrupted How Social Media and the World Wide Web Have Changed the Past
Jason Steinhauer
Published 2021
160 pages
Practical MLOps Operationalizing Machine Learning Models
Noah Gift, Alfredo Deza
Published 2021
439 pages
Deep Learning A Visual Approach
Andrew Glassner
Published 2021
776 pages
Transformers for Natural Language Processing Build Innovative Deep Neural Network Architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and More
Denis Rothman
Published 2021
384 pages
The Psychoanalysis of Artificial Intelligence
Isabel Millar
Published 2021
220 pages
Mastering Kafka Streams and ksqlDB
Mitch Seymour
Published 2021
549 pages
Exploring GPT-3
Steve Tingiris, Bret Kinsella
Published 2021
296 pages
Redesigning AI
Daron Acemoglu
Published 2021
192 pages
Data Science on AWS
Chris Fregly, Antje Barth
Published 2021
508 pages
AI Assistants
Roberto Pieraccini
Published 2021
288 pages
Deep Finance Corporate Finance in the Information Age
Glenn Hopper
Published 2021
240 pages
Fake AI
Frederike Kaltheuner
Published 2021
206 pages
Human-in-the-Loop Machine Learning Active Learning and Annotation for Human-centered AI
Robert (Munro) Monarch
Published 2021
424 pages
Dive Into Algorithms A Pythonic Adventure for the Intrepid Beginner
Bradford Tuckfield
Published 2021
248 pages
Discriminating Data Correlation, Neighborhoods, and the New Politics of Recognition
Wendy Hui Kyong Chun
Published 2021
344 pages
Math for Deep Learning What You Need to Know to Understand Neural Networks
Ronald T. Kneusel
Published 2021
344 pages
SQL for Data Analysis
Cathy Tanimura
Published 2021
588 pages
Python for Excel
Felix Zumstein
Published 2021
338 pages
A Citizen's Guide to Artificial Intelligence
John Zerilli, John Danaher, James Maclaurin, Colin Gavaghan, Alistair Knott
2021 · 2025 edition
232 pages
An Introduction to Statistical Learning with Applications in R
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
Published 2021
607 pages