Data Mining: A Statistical Learning Perspective
CS 395T/CAM 395T
CS Unique No. 55905 / CAM Unique No. 65780
Spring 2008
MW 9:30-11am
PAR 303
Instructor: Inderjit Dhillon
(send email)
Office: ACES 2.332
Office Hours: M 11am-noon and by appointment
TA: Prateek Jain
Office: TAY 137
Office Hours: Tue 3-4pm and Thurs 3-4pm
Course Description
This graduate course will focus on various mathematical and statistical
aspects of data mining. Topics covered include supervised learning
(regression, classification, support vector machines) and unsupervised
learning (clustering, principal components analysis, dimensionality
reduction). The technical tools used in the course draw from linear
algebra, multivariate statistics and optimization.
Pre-requisites: M341 or equivalent.
Handouts
Textbook
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Suggestions for Paper Readings
Class Projects
Other References