MATH80629

Prérequis

Calendrier

Évaluation

Soutien

Référence

Références

1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome, 2009 [ESL]
2. Deep Learning. Ian Goodfellow, Yoshua Bengio and, Aaron Courville. [DL]
3. Reinforcement Learning : An Introduction Hardcover. Richard S. Sutton, Andrew G. Barto. A Bradford Book. 2nd edition [RL-Sutton-Barto]
4. Machine Learning. Kevin Murphy. MIT Press. 2012. [ML-Murphy]
5. Recommender Systems Handbook, Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. 2011. [RSH]
6. Data Algorithms : Recipes for Scaling Up with Hadoop and Spark 1st Edition. Mahmoud Parsian. O’Reilly. 2015 [DA]
7. Python for Data Analysis : Data Wrangling with Pandas, NumPy, and IPython. Wes McKinney. O’Reilly. 2012 [PDA]
8. Pattern Recognition and Machine Learning. Christopher Bishop. 2006 [PRML]
9. Advanced Analytics with Spark. O’Reilly. Second Edition. 2017