Non-technical books we love related to data, computing and machine learning.
Accessible to a non-technical reader - no equations or code allowed!
Business
The Hard Thing About Hard Things - Ben Horowitz
Search of Excellence - Tom Peters and Robert H. Waterman
Purple Cow - Seth Godin
Communication
Made to Stick - Chip Heath
Talk Like TED - Carmine Gallo
Data Science
Data Scientists at Work - Sebastian Gutierrez
Superforecasting - Philip Tetlock
Computer Science
The Art of Doing Science and Engineering – Richard Hamming
Algorithms to Live By - Brian Christian & Tom Griffiths
Gödel, Escher, Bach - Douglas Hofstadter
History of Computing
A Mind at Play - Jimmy Soni & Rob Goodman
Unix: A History and a Memoir - Brian Kernighan
The Man Who Solved the Market - Gregory Zuckerman
Innovation
The Medici Effect - Frans Johansson
The Innovator’s Dilemma - Clayton Christensen
The Inevitable - Kevin Kelly
Programming
Facts and Fallacies of Software Engineering - Paul Becker, Robert Glass & John Fuller
The Mythical Man-Month - Fred Brooks
Hackers & Painters - Paul Graham
Machine Learning
The Master Algorithm - Pedro Domingos
Building Machine Learning Powered Applications - Emmanuel Ameisen
Philosophy
Antifragile - Nassim Nicholas Taleb
From Bacteria to Bach and Back - Daniel Dennet
Probability
Against the Gods - Peter L. Bernstein
Map and Territory - Eliezer Yudkowsky
Startups
The Lean Startup - Eric Ries
Zero to One - Peter Thiel
Hello, Startup - Yevgeniy Brikman
Statistics
How Not to Be Wrong - Jordan Ellenberg
Statistics Done Wrong - Alex Reinhart
Working with others
Influence - Robect Cialdini
Emotional Intelligence - Daniel Goleman