Ranked by helpfulness to a data scientist / ML engineer


The Coming Wave
Mustafa Suleyman & Michael Bhaskar
Supercomputing for Artificial Intelligence
Jordi Torres
#1
The Ultra-Scale Playbook
Nouamane Tazi & Ferdinand Mom
#2
A Philosophy of Software Design
John Ousterhout
#3
Interpretable Machine Learning
Christoph Molnar
#4
The Ethical Algorithm
Michael Kearns & Aaron Roth
#5
Trustworthy Machine Learning
Kush R. Varshney
#6
Invisible Women
Caroline Criado-Perez
#7
Automating Inequality
Virginia Eubanks
#8
Unmasking AI
Dr. Joy Buolamwini
#9
Becoming an AI Orchestrator
Sadie St. Lawrence
#10
Artificial Unintelligence
Meredith Broussard
#11
The Art of Uncertainty
David Spiegelhalter
#12
The Signal and the Noise
Nate Silver
#13
On the Edge
Nate Silver
#14
How to Lie with Statistics
Darell Huff
#15
Storytelling with Data
Cole Nussbaumer Knaflic
#16
People Skills for Analytical Thinkers
Gilbert Eijkelenboom
#17
ColorWise
Kate Strachnyl
#18
Becoming a Data Head
Gutman & Goldmeier
#19
Naked Statistics
Charles Wheelan
#20
Superagency
Reid Hoffman & Greg Beato
#21
Outliers
Malcom Gladwell

AI Engineering
Chip Huyen
Designing Machine Learning Systems
Chip Huyen
Why Machines Learn
Anil Ananthaswamy
Weapons of Math Destruction
Cathy O'Neil
The Art of Statistics
David Spiegelhalter
How Charts Lie
Alberto Cairo
Humble Pi
Matt Parker