Data Mining on the Web

4 credits

Application of machine learning and data mining techniques, recommender systems, data mining, and predictive analytics. Building models to understand data in order to gain insights and make predictions. Covered topics include regression; classification; unsupervised learning and dimensionality reduction; recommender systems; text mining; social network analysis; data visualization; and online advertising. This course is a distance education course. Prerequisites: DSC 215R. Restricted to major codes DS78 and DS79. All other students with graduate standing may be considered as space permits.