Charles Assaad, Simon Ferreira, Timothée Loranchet
On this page, you will find the materials we used for our contribution to Xavier Tannier's course on Machine Learning for Healthcare. During this course, We conducted a 3-hour lecture and a two 3-hour lab sessions focused on introducing causal Directed Acyclic Graphs (DAGs) and the principles of causal reasoning and causal discovery.
The only slides available on this page are those specifically used in our sessions of the course.
If you have any questions or need additional information about these topics, feel free to reach out!
| Date | Description | Slides |
|---|---|---|
| February 05 | Lecture: Causal Inference: DAGs, reasoning and discovery | Download |
| February 12 | TP: Causal discovery | Download |
| February 19 | TP: Causal reasoning and estimation | Download |