Ranked by helpfulness to a data scientist / ML engineer


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The Coming Wave
Mustafa Suleyman & Michael Bhaskar
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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