Machine Learning and Massive Data Analysis (MLMDA) is a research group which is part of the Centre de Mathématiques et de Leurs Applications (CMLA) at the Ecole Normale Superieure de Cachan (ENSC), France.
Our research is focused on predictive modeling, machine learning algorithms and inference on complex data structures, such as functional data and networks.
Our methodologies and algorithms provide tools to perform:
- classification, scoring, ranking, recommendation, clustering
- event detection from signals
- link prediction in networks
- sequential decisions
- inverse problems resolution
- optimization, …
Our group interacts with experts from various fields: clinical research, digital marketing, system design in engineering sciences, biology and physics, fluid mechanics, finance, IOT, …