domaines d'enseignement
Mathématiques appliquées.Parcours
- M1APPMATH-MAST1A M1 - Applied Mathematics and statistics - Master 1A
- MAP553 Foundation of Machine Learning
- MAP555 Signal Processing
- MAP552 Modèles stochastiques en Finance
- MAP556 Méthodes de Monte Carlo
- DS-ENSAE-9 Optimal Transport: Theory, Computations, Statistics, and ML Applications
- INF573 Image Analysis and Computer Vision
- MAP514D High Dimensional Statistics and Probability
- DS-ENSAE-5 A mathematical introduction to Compressed Sensing
- MAP513A EA initiation recherche long-P1
- MAP513T Initiation research TELECOM
- DS-télécom-7 Convex Analysis and Optimization Theory
- MAP512 EA initiation recherche P2
- INF581 Advanced Machine Learning and Autonomous Agents
- MAP513E Initiation research ENSAE 1
- LAN576FLE02 Cours de français - PhD Track - A0/A1
- MAP575 Advanced probability topics
- MAP-Télécom-TSIA204 Statistique : modèles linéaires
- INF554 Machine and Deep learning
- MAP-Télécom-TSIA211 Optimization for Machine Learning
- MAP568 Gestion des incertitudes et analyse de risque
- MAP566 Statistics in Action
- MAP583 Apprentissage profond de la théorie à la pratique
- MAP562 Optimal Design of Structures
- INF582 Introduction to Text Mining and NLP
- MAP565 Modélisation aléatoire et statistique des processus
- MAP569 Regression and classification
- DS-ENSAE-1 Statistical Learning Theory
- DS-ENSAE-5B Compressed Sensing
- DS-télécom-1 Optimization for Data Science
- MAP513F Initiation research ENSAE 2
- INF-ENSAE-1A Research Project ENSAE (PhD Track)
- INF-ENSAE-1B Research Project ENSAE (PhD Track)
- MAP594 Modélisation probabiliste et statistique
