DSC 540: Advanced Machine Learning

The course is for students with prior background in data mining or machine learning techniques, and covers more advanced modeling techniques, including ensemble learning, extended linear models such as support vector machines, probabilistic graphical models, mixture and latent variable models, matrix factorization and link analysis. Application of the models will be presented in popular domains such as Web and social media analytics, text mining, crime analysis, community discovery, and health informatics.