The most popular data science books of 2022

Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2022.

Results

AI for Learning
Cover of AI for Learning

AI for Learning

Carmel Kent, Benedict du Boulay

Published 2022

104 pages

Cognitive Robotics
Cover of Cognitive Robotics

Cognitive Robotics

Angelo Cangelosi, Minoru Asada

Published 2022

496 pages

Can We Trust AI?
Cover of Can We Trust AI?

Can We Trust AI?

Rama Chellappa, Eric Niiler

Published 2022

224 pages

Making with Data
Cover of Making with Data

Making with Data

Samuel Huron, Till Nagel, Lora Oehlberg, Wesley Willett

Published 2022

392 pages

Bioinformatics
Cover of Bioinformatics

Bioinformatics

Hamid D. Ismail, National Center for Biotechnology Information Staff

2022 · 2023 edition

330 pages