A Thousand Brains A New Theory of Intelligence
Jeff Hawkins, Richard Dawkins
Published 2021
272 pages
The most popular data science books of 2021
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 2021.
Results
Super Founders
Ali Tamaseb
Published 2021
272 pages
System Error Where Big Tech Went Wrong and How We Can Reboot
Mehran Sahami, Rob Reich, Jeremy M. Weinstein, Jeremy Weinstein
2021 · 2023 edition
352 pages
Atlas of the Invisible
James Cheshire, Oliver Uberti, W. W. Norton & Company
Published 2021
224 pages
Breaking the Social Media Prism How to Make Our Platforms Less Polarizing
Chris Bail, Christopher A. Bail
Published 2021
232 pages
The Ascent of Information
Caleb Scharf
2021 · 2022 edition
352 pages
Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Jordan Goldmeier, Alex J. Gutman
Published 2021
272 pages
Data Pipelines Pocket Reference
James Densmore
Published 2021
245 pages
Beautiful News Positive Trends, Uplifting Stats, Creative Solutions
David McCandless
2021 · 2022 edition
256 pages
Better Data Visualizations A Guide for Scholars, Researchers, and Wonks
Jonathan A. Schwabish
Published 2021
449 pages
Artificial Intelligence (WIRED Guides) How Machine Learning Will Shape the Next Decade
Matthew Burgess, WIRED
Published 2021
208 pages
Good Data
Sam Gilbert
Published 2021
320 pages
A City Is Not a Computer Other Urban Intelligences
Shannon Mattern
Published 2021
200 pages
Data Pipelines with Apache Airflow
Bas P. Harenslak, Julian de Ruiter
Published 2021
480 pages
Be Data Literate The Data Literacy Skills Everyone Needs to Succeed
Jordan Morrow
Published 2021
223 pages
Designing Cloud Data Platforms
Danil Zburivsky, Lynda Partner
Published 2021
336 pages
99 Maps to Save the Planet With an introduction by Chris Packham
KATAPULT, Chris Packham
Published 2021
208 pages
Data Governance
Uri Gilad, Valliappa Lakshmanan, Evren Eryurek, Anita Kibunguchy-Grant, Jessi Ashdown, Anita Kibunguchy
Published 2021
293 pages
The System Design Interview, 2nd Edition
Lewis C. Lin, Shivam P. Patel
Published 2021
249 pages
All the News That’s Fit to Click
Caitlin Petre
Published 2021
256 pages
97 Things Every Data Engineer Should Know
Tobias Macey
Published 2021
362 pages
Concurrent Data Processing in Elixir Fast, Resilient Applications with OTP, GenStage, Flow, and Broadway
Svilen Gospodinov
Published 2021
176 pages
Grokking Machine Learning
Luis Serrano
Published 2021
512 pages
Computer Science Unleashed Harness the Power of Computational Systems
Wladston Ferreira Filho, Moto Pictet
Published 2021
274 pages