Analyse exploration des données
- Francois Husson, Sebastien Le (Author) & Jérôme Pagès, (2017), Exploratory Multivariate Analysis by Example Using R, Chapman and Hall, 262 pages, ISBN-10: 1138196347
- Alain Morineau, Yves-Marie Chatelin, Bernard Goldfarb & Catherine Pardoux, (2005), L'analyse statistique des données : apprendre, comprendre et réaliser avec Excel, Ellipse Édition, 407 pages, ISBN-10 : 2729823034
- Brigittes Escofier, Jérôme Pagès, (2016), Analyses factorielles simples et multiples, Dunod, 400 pages, ISBN-10: 2100041274
- Ludovic Lebart, Marie Piron et Alain Morineau (2006), Statistique exploratoire multidimensionnelle, Dunod, 480 pages, ISBN-10: 2100496166
Apprentissage automatique
- Andriy Burkov, (2019), The Hundred-Page Machine Learning Book, 160 pages, ISBN-10: 199957950X
- Tom Mitchell, (1997), Machine Learning, McGraw-Hill, 352 pages, ISBN-10: 0071154671
- Trevor Hastie Robert Tibshirani & Jerome Friedman, (2008), The elements of statistical learning: data mining, inference and prediction, Springer, 745 pages, ISBN-10: 0387848576
- Yaser S. Abu-Mostafa, Malik Magdon-Ismail & Hsuan-Tien Lin, (2012), Learning from data, AMLBook, ISBN-10: 1600490069
- Ian Goodfellow, Yoshua Bengio (Author) & Aaron Courville, (2016), Deep Learning, MIT Press, 800 pages, ISBN-10: 0262035618.
Langage R
- R core team, (2015), An Introduction to R, Samurai Media Limited, 106 pages, ISBN-10: 9881443636
- John Taveras, (2016), R for Excel Users: An Introduction to R for Excel Analysts, CreateSpace Independent Publishing Platform, 212 pages, ISBN-10: 1500566357
Azure Machine Learning
- Deepak Mukunthu, Parashar Shah & Wee Hyong Tok, (2019), Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions, O'Reilly, 198 pages, ISBN-10: 149205559X
- Mathew Salvaris, Danielle Dean & Wee Hyong Tok, (2018), Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform, APress, 284 pages, ISBN-10: 9781484236789
- Sumit Mund, (2015), Microsoft Azure Machine Learning, Packt Publishing, 212 pages, ISBN-10: 1784390798
D'autres références (en-ligne) sont citées sur le site Moodle du cours.