DATA 410 - Advanced Machine Learning

Credits: (3)
Topics include bootstrapping, bagging, boosting; regression regularization techniques; dimensionality reduction; support vector machines; semi-supervised and reinforcement learning; deep learning; time series modeling. Prerequisite(s): DATA 220 Machine Learning Models (3)