Statistical Learning with Applications in Health Sciences

3 Credits

Covers a broad range of methods that are useful for modern data analysis, specifically in the analysis of high-dimensional data. Many of these methods (e.g., deep learning) go far beyond the classical statistical methods and are developed for addressing various problems (e.g., nonlinearity) we encounter in real situations.