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Statistical learning and data mining

2010VT
Masters level course

Status Cancelled
School Computer and Information Science (CIS)
Division STIMA
Owner Anders Grimvall
Homepage www.ida.liu@~720A20

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Course plan

No of lectures

14*2 hours

Recommended for

Ph.D. students who are interested in extracting information form large or complex datasets

The course was last given

autumn 2008

Goals

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.

Prerequisites

Basic course in statistics/matehmatical statistics, linear algebra

Organization

Contents

Overview of supervised learning.

Literature

Hastie, Tiebshirani and Friedman. The elements of statistical learning ISBN: 0-387-95284-5

Lecturers

Anders Grimvall

Examiner

Anders Grimvall

Examination

Written lab reports

Credit

8 credits

Comments


Page responsible: Director of Graduate Studies
Last updated: 2012-05-03