Course Description

This graduate level course develops a foundation for research on intelligent data processing. The topics covered include classification, regression, clustering, sequence modelling, recommender problems, generative and discriminative models, model selection and generalization issues, transfer learning, scalability issues, knowledge representations, and various applications.

12 credits


Lu Wei


Final Exam, Midterm, Project, Assignments, Paper Presentation