Statistical learning and data mining2010VT
Masters level course
No of lectures
Ph.D. students who are interested in extracting information form large or complex datasets
The course was last given
The course lays the foundation for professional work and research in which large amounts of data are explored, modified, modelled and assessed to uncover previously unknown patterns and trends.
Basic course in statistics/matehmatical statistics, linear algebra
Overview of supervised learning.
Hastie, Tiebshirani and Friedman. The elements of statistical learning ISBN: 0-387-95284-5
Written lab reports
Page responsible: Director of Graduate Studies
Last updated: 2012-05-03