
The Elements of Statistical Learning Data Mining, Inference, and Prediction
Trevor Hastie, Robert Tibshirani, Jerome Friedman
Published 2001
533 pages
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.

Trevor Hastie, Robert Tibshirani, Jerome Friedman
Published 2001
533 pages

Rudy Giuliani
2002 · 2003 edition
528 pages

Melanie Mitchell
2019 · 2020 edition
419 pages

Marcus Du Sautoy
2019 · 2020 edition
320 pages

Dave Barry
1996 · 1998 edition
215 pages

Allen B. Downey
2009 · 2012 edition
277 pages

Evgeny Morozov, Nancy Viviana Piñeiro
2013 · 2014 edition
413 pages

Craig Walls, Ryan Breidenbach
Published 2005
444 pages

Toby Segaran
Published 2007
376 pages

Thomas H. Davenport, Jeanne G. Harris
Published 2007
218 pages

Nathan Yau
Published 2011
384 pages

François Chollet
Published 2017
384 pages

Eric J. Topol
Published 2015
384 pages

Pramod J. Sadalage, Martin Fowler
2012 · 2013 edition
164 pages

Eric Topol
Published 2012
303 pages

Catherine D'Ignazio, Lauren F. Klein
Published 2020
328 pages

Ralph Kimball
1998 · 2002 edition
464 pages

Adam Greenfield
Published 2017
359 pages

John W. Foreman
Published 2013
432 pages

Scott E. Page
Published 2018
448 pages

Dan Cederholm
Published 2006
270 pages

Thomas A. Limoncelli
2005 · 2006 edition
200 pages

Kathy Sierra, Bert Bates, Bryan Basham
2004 · 2008 edition
928 pages

Eric Redmond, Luc Perkins, Jim R. Wilson
Published 2012
333 pages