Applied and Theoretical Machine Learning

Catalog description

This research-intensive course investigates advanced machine learning algorithms and their theoretical foundations. Students will study recent research on supervised, unsupervised, and reinforcement learning, with a focus on algorithmic development and optimization. Research projects will involve examining the latest advancements in machine learning and exploring applications in fields such as predictive analytics and autonomous systems.