Machine Learning Seminar presentation
Topic: Causal Inference & Causal Learning: Towards Causal ML (Part 1 of 3)
Speaker: Marharyta Aleksandrova, Faculty of Science, Technology and Medicine; University of Luxembourg
Time: Wednesday, 2021.11.03, 10:00 CET
How to join: Please contact Jakub Lengiewicz
In this seminar, we will discuss the basics of the Causality theory: Causal Inference (how to measure the strength of a causal effect) and Causal Learning (how to learn causal structure, that is how to identify which variable is the cause and which is the effect). We will talk of what analysts should consider if they want to make causal conclusions from their data analysis. The lectures will be accompanied with a series of practical demonstrations.
Presentation and collab: https://drive.google.com/file/d/1xGsyCEwaCGsTiiqXfgohi1FEy66zOc0n/view?usp=sharing
Video recording: https://youtu.be/K8L5WEFA3hA