DSC5001 · Statistical Machine Learning I

This course focuses on the theoretical foundation and fundamental methods in statistical machine learning, covering the key concepts of the probability theory and statistical inference for machine learning, classical and cutting-edge methods and theories for regression and classification, and popular methods for unsupervised learning.