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A Non-Technical Data Professionals Library

Non-technical books we love related to data, computing and machine learning.

Accessible to a non-technical reader - no equations or code allowed!


The Hard Thing About Hard Things - Ben Horowitz

Search of Excellence - Tom Peters and Robert H. Waterman

Purple Cow - Seth Godin


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


The Medici Effect - Frans Johansson

The Innovator’s Dilemma - Clayton Christensen

The Inevitable - Kevin Kelly


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


Antifragile - Nassim Nicholas Taleb

From Bacteria to Bach and Back - Daniel Dennet


Against the Gods - Peter L. Bernstein

Map and Territory - Eliezer Yudkowsky


The Lean Startup - Eric Ries

Zero to One - Peter Thiel

Hello, Startup - Yevgeniy Brikman


How Not to Be Wrong - Jordan Ellenberg

Statistics Done Wrong - Alex Reinhart

Working with others

Influence - Robect Cialdini

Emotional Intelligence - Daniel Goleman