Calling Bullshit The Art of Scepticism in a Data-Driven World
Carl T. Bergstrom, Jevin D. West
2020 · 2021 edition
336 pages
The most popular data science books of 2020
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 2020.
Results
If Then
Jill Lepore
Published 2020
415 pages
Data Feminism
Catherine D'Ignazio, Lauren F. Klein
2020 · 2023 edition
328 pages
Always Day One
Alex Kantrowitz
2020 · 2021 edition
272 pages
Trustworthy Online Controlled Experiments A Practical Guide to A/B Testing
Ron Kohavi, Diane Tang, Ya Xu
Published 2020
288 pages
System Design Interview - An Insider's Guide Volume 2
Alex Xu
2020 · 2022 edition
436 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
Build a Career in Data Science
Jacqueline Nolis, Emily Robinson
Published 2020
354 pages
Deep Learning with PyTorch Build, train, and tune neural networks using Python tools
Eli Stevens, Luca Antiga, Thomas Viehmann
Published 2020
520 pages
Building Machine Learning Powered Applications
Emmanuel Ameisen
Published 2020
290 pages
Introducing MLOps
Nicolas Omont, Mark Treveil, Clément Stenac, Kenji Lefevre, Du Phan, Joachim Zentici, Adrien Lavoillotte, Makoto Miyazaki, Lynn Heidmann
Published 2020
276 pages
Bad Data Why We Measure the Wrong Things and Often Miss the Metrics That Matter
Peter Schryvers
Published 2020
352 pages
Learning Spark
Denny Lee, Brooke Wenig, Tathagata Das, Jules S. Damji
Published 2020
503 pages
Data Management at Scale Modern Data Architecture with Data Mesh and Data Fabric
Piethein Strengholt
2020 · 2023 edition
388 pages
I Am a Book. I Am a Portal to the Universe
Stefanie Posavec, Miriam Quick
Published 2020
112 pages
Practical Natural Language Processing
Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana
Published 2020
549 pages
Grokking Artificial Intelligence Algorithms
Rishal Hurbans
Published 2020
392 pages
AI and Machine Learning for Coders
Laurence Moroney
Published 2020
394 pages
Building Analytics Teams
John K. Thompson
Published 2020
394 pages
Data Action Using Data for Public Good
Sarah Williams
2020 · 2022 edition
312 pages
Customer Data + Privacy Insights You Need from Harvard Business Review
HBR
Published 2020
176 pages
Data Sketches
Nadieh Bremer, Shirley Wu
Published 2020
428 pages
The Economics of Data, Analytics, and Digital Transformation The Theorems, Laws, and Empowerments to Guide Your Organization's Digital Transformation
Bill Schmarzo, Kirk Borne
Published 2020
260 pages