[Colloquium] TTIC 31020 - Introduction to Statistical Machine Learning

[Chrissy Novak]

Good afternoon.
Course announcement for Autumn 2011:


*31020 - Introduction to Statistical Machine Learning*
A systematic introduction to machine learning, covering theoretical as well
as practical aspects of the use of statistical methods. The goal is to
provide the students not only with a basic toolbox of learning techniques
but also with a solid understanding how, why and when these work or do not.
Topics include linear models for classification and regression, support
vector machines, regularization and model selection, multi-layer neural
networks, the EM algorithm, boosting, and others. Application examples are
taken from areas like information retrieval, natural language processing,
computer vision.


*Prerequisites:* probability, linear algebra, and undergraduate level
algorithms.
*Listeners are welcome, with instructor's permission.*


The course meets at TTIC, 6045 S Kenwood Ave,
Rm. 526, Tue/Thu 1:30-2:50pm; first lecture is Tue Sep 27.
Instructor: Greg Shakhnarovich greg at ttic.edu



Thank you,
________________________________
Chrissy M. Novak
Administrative Director of Graduate Studies, Publications

Toyota Technological Institute at Chicago
6045 S. Kenwood Ave.
Chicago, IL 60637
Phone- (773)834-2216
Fax-     (773)834-9881
www.ttic.edu
________________________________
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