## Teaching

### Good news for math students: lots of jobs!

The number of jobs that a math student can apply to is huge. The reason is that mathematics bring advanced concepts and rigorous methods for modelling, forecasting, optimization and automatic data processing. Whether you want to work in biostatistics, aeronautics, e-marketing, meteorology, economics, etc, mathematics are useful.

Examples of jobs are provided in the french magazine Zoom des métiers.

### Courses, tutorials, and computer sessions

#### Present

- Mathematical foundations of deep learning [Master MVA]
- Slides are available on that webpage.

- Machine Learning for Data Science, one-week program at CERFACS, Toulouse.
- More information and registration here.

- Introduction to RL, ModIA, ENSEEIHT, Toulouse.

#### Some materials from past courses

- Introduction to bandits [M2 MApI3]
- A short introduction to bandits: lecture notes and python notebook.

- Mathematics of machine learning [M2R MFA], with AurĂ©lien Garivier (in 2016 and 2017).
- Nonparametric density estimation: lecture notes (see also Arnak Dalalyan's webpage).
- Minimax lower bounds: lecture notes, appendix, and exercises.
- Introduction to bandit models: lecture notes.
- Supervised classification: complements (reading the minimax lower bound is a good exercise).
- Learning and optimization: lecture notes.
- Online prediction with expert advice: lecture notes, complement on the non-convex case, proof of Hoeffding-Azuma's inequality.