CS 281B / Stat 241B
Statistical Learning Theory
[Data and Software]
Office: 401 Evans, 2-8660; 731 Soda, 2-3806
Office hours: Tues, 3-4 (401 Evans); Thurs 1-2 (731 Soda)
Office: 385 Evans
Office hours: Mon, 1-2; Weds, 1-2
This course will provide an introduction to advanced statistical and
computational methods for the modeling of complex, multivariate
data. The focus will be on nonparametric methods and the development
of theoretical concepts to support such methods.
The prerequisite for this course is CS 281A / Stat 241A or a
similar graduate-level probability or statistics course.
Students will need to be familiar with Matlab, SPlus or a related
matrix-oriented programming language.
There will be bi-weekly homework assignments, due one week after being
passed out. Late homeworks will not be accepted.