Optimization for machine learning (November 2020)
This course at PSL university was for students of the IASD / MASH master course. I was in charge of the following classes:
- Automatic differentiation: slides, notebook, code
- Duality in ML: slides, notebook, code
- Beyond gradient descent: slides, code
Part of the autodiff class material became the backpropagation section in Kevin Murphy's book.
Machine learning preparatory week (September 2020)
This course at PSL university was designed for beginners in machine learning. I was in charge of the following classes:
- Python basics: notebook
- Introduction to machine learning: slides
- Optimization for linear models: slides, notebook
The full course is available here.