Description
This graduate-level course on data science builds upon the undergraduate courses on ''Data Analytics'' and on ''Introduction to Machine Learning''. The course starts by introducing data analytics tasks like regression, classification and forecasting from the data science perspective and then shows how advanced ML techniques can be used to perform them. Topics include advanced clustering, time-series prediction, statistical learning theory, ensemble learning, probabilistic learning, dimension reduction, semi-supervised learning, transfer learning, etc.