
Digital humanism--values and models for tomorrow?
Ghislaine Azémard, Yves Théorêt, ORBICOM, UNESCO
Published 2017
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. The newest come first. Only books in French are listed.

Ghislaine Azémard, Yves Théorêt, ORBICOM, UNESCO
Published 2017

Jules Remy
Published 2017
135 pages

Published 2017
220 pages

Julius Wiedemann
Published 2016
480 pages

Fabien Michel (Informaticien).), Julien Saunier (chercheur en informatique).)
Published 2016
255 pages

Danièle Bourcier, Primavera De Filippi
Published 2016
269 pages

Claude Couderc
Published 2016
546 pages

Desclès, Guibert, Sa
Published 2016
270 pages

Jean-Baptiste Gérald
Published 2016
276 pages

Olivier de Maison Rouge
Published 2016
208 pages

Claude Couderc
Published 2016
138 pages

Jean-Philippe Rennard
Published 2016
192 pages

Pierre-André Sunier
Published 2016
178 pages
Olivier Hassid, Lucien Lagarde
Published 2016
188 pages

Alan Calder
2016 · 2017 edition
84 pages

Eric Sadin
2015 · 2021 edition
278 pages

Gauthier Picard, Laurent Vercouter
Published 2015
223 pages

Jules Remy
Published 2015
205 pages

Rudi Bruchez
Published 2015
330 pages

Seth Stephens-Davidowitz
2014 · 2018 edition
349 pages

Yannick Lejeune
Published 2014
192 pages

Christian Marcon
Published 2014
264 pages

Marc Debono
Published 2014
216 pages

Antoine Gautier, Laura Pino Serrano, Carlos Valcárcel Riveiro
Published 2014
324 pages