Prof Emmanuel Flachaire
Prof Emmanuel Flachaire is a Professor of Econometrics at Aix-Marseille Université, Faculté d'économie et de gestion.
His primary interests include Econometrics, Machine Learning, Distributional analysis.
Learn with Prof Emmanuel Flachaire
Data Mining and Big Data
The purpose of this course is to provide students with an introduction to data mining and how to best handle big data. Most applied research relies on data that is only getting larger and more complicated. Researchers have to first clean, manage and mine the data to better understand any existing relationships and guide analysis. This course is aimed towards research and public policy applications.
Causal Machine Learning
This course is an introduction to the principles and practices of causal machine learning. It covers the basics of causal inference, including the identification and estimation of causal effects, as well as the applications of causal machine learning in areas such as health, finance, and social sciences. The course also includes an introduction to common methods and algorithms for causal machine learning, such as instrumental variables, synthetic controls, AB-testing and propensity scores.