Machine Learning

Learning and predictive modeling methods for data analysis, such as decision trees, instance-based learning, neural networks, ensemble methods and clustering, and fundamental concepts of learning theory. 

Synchronized over Zoom and Canvas on Wednesdays, January 7 to March 11, 2026