Advanced Machine Learning (AMAL)
Master course – As indicated in the title, this is an introductory course in ML with a focus on neural networks a.k.a. deep-learning
The slides are here: AMAL-Slides-part1 part 2 will come later
Reinforcement Learning and Advanced Deep Learning
Master course – This course develops two topics:
- Reinforcement Learning is taught by O. Sigaud.
- Advanced Deep Learning taught by myself: introduces exemples of recent developments in Deep Learning. This is complementary to the AMAL course (see above) that introduces basic ML concepts. I mainly develop two topics: generative models (Variational Auto-encoders (VAEs), Generative Adversarial Networks (GANs), Diffusion models) and Physics-Based Deep Learning i.e. machine learning for scientific computing also known as AI4Science with an emphasis on the modeling of dynamic systems in physics.
Slides (2024-2025):
AI4Science: Physics-aware Deep Learning
Master probabilités finance