General graduate course on regression methods
In this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications.
This course provides an overview of key advances in continuous optimization and statistical analysis for machine learning. We review recent learning formulations and models as well as their guarantees
A course on statistical machine learning for supervised and unsupervised learning
-This course gives a mostly rigourous treatment of some statistical methods outside the context of standard likelihood theory.
Ce cours est divisé en deux partie. La première partie présente le langage Python et les différences notables entre Python et C++ (utilisé dans le cours précédent ICC). La seconde partie est une intro
The course covers basic econometric models and methods that are routinely applied to obtain inference results in economic and financial applications.
This course is an introduction to quantitative risk management that covers standard statistical methods, multivariate risk factor models, non-linear dependence structures (copula models), as well as p
