This subreddit is dedicated to all information related to compressive sensing (including nonlinear compressive sensing including deep learning algorithms), advanced matrix factorization (codes, webpages, examples of use, etc...) and related Machine Learning techniques...

The meetup will be hosted by AAA-data / Comité des Constructeurs Français d'Automobiles and the networking event is sponsored by Zen.ly . A big thank you to them. The program for this third regular meetup of the season (and the fifth total for season 4) is a little extraordinary this time and will feature the following: Dominique Gillot, Sénatrice, ancienne ministre et Rapporteure avec le député Claude de Ganay d'un rapport sur l'Intelligence Artificielle pour le Parlement. Julien Simon (Amazon), Machine Learning & Deep Learning with Amazon Web Services Gautier Marti (Hellebore Capital), A closer look at correlations You may have already read many times that the job of a Data Scientist is to skim through a huge amount of data searching for correlations between some variables of interest. And also, that one of his worst enemies (besides correlation doesn't imply causation) is spurious correlation.

Marc Wolff, Amine El Helou, Mathworks, Un algorithme distribué de forêt aléatoire pour du risque de crédit/ A Random Forest distributed algorithm for credit risk computations. We will talk about how we use optics to perform some specific operation of interest in Machine Learning. The basis of this talk relies on this preprint.