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  3. Mathématiques Appliquées / Applied Mathematics
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Master 2

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DS-telecom-11 - Modèles de Markov partiellement observés en signal et image (2023-2024)
DS-telecom-12 - Convex Analysis and Optimization Theory (2023-2024)
DS-telecom-13 - Deep Learning for Computer Vision (2023-2024)
DS-telecom-14 - Applied Deep Learning with Python (2023-2024)
DS-telecom-15 - Audio and music information retrieval (2023-2024)
DS-telecom-16 - Tail events analysis: Robustness, outliers and models for extreme values (2023-2024)
DS-telecom-17 - Multi-object estimation and filtering (2023-2024)
DS-telecom-18 - Stochastic approximation and reinforcement learning (2023-2024)
DS-telecom-19 - Apprentissage Profond II (2023-2024)
DS-telecom-2 - Visualization and Visual Analytics for Data Science (2023-2024)
DS-telecom-20 - Natural Language Processing (2023-2024)
DS-telecom-21 - Introduction to Deep Learning with Python part 2 (2023-2024)
DS-telecom-22 - Théorie de l'Optimisation et Applications (2023-2024)
DS-Telecom-23 - Representation Learning for Computer Vision and Médical Imaging (2023-2024)
DS-Telecom-24 - Développements récents dans l'IA responsable (2023-2024)
DS-telecom-3 - Markov Chain Monte Carlo - Theory and practical applications (2023-2024)
DS-telecom-4 - Introduction to Bayesian Learning (2023-2024)
DS-telecom-5 - Introduction to Graphical Models (télécom) (2023-2024)
DS-telecom-6 - Apprentissage Profond 1 (2023-2024)
DS-telecom-7 - Convex Analysis and Optimization Theory (2023-2024)
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