Machine Learning

This graduate level machine learning course develops a foundation for research on intelligent data processing. The topics that we plan to cover in this course include the following: classification, regression, clustering, sequence modeling, recommender problems, generative and discriminative models, model selection and generalization issues, transfer learning, scalability issues, knowledge representations, and various applications.

Number of credits: 12