Lectures and labs may be found on this github repository. Slides and stuff of this mini-course are inspired by other lectures and material of M.R. Amini, C. Azencott, F. Iutzeler, N. Thome...Feel free to visit their website!
M. Mohri, A. Rostamizadeh, and A. Talwalkar Foundations of Machine Learning : https://cs.nyu.edu/~mohri/mlbook/
The github account of L. ven der Maaten : https://lvdmaaten.github.io/tsne/
G. Biau, E. Scornet : https://arxiv.org/abs/1511.05741
R. Genuer, J.M. Poggi, C. Tuleau-Malot, N. Vialaneix. Random Forests for Big Data. Big Data Research, Elsevier, 2017 https://hal.archives-ouvertes.fr/hal-01233923/document
The paper of R. Koenker et al. : https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.15.4.143
The paper of N. Meinhausen : https://jmlr.org/papers/volume7/meinshausen06a/meinshausen06a.pdf