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STAT 485

Intermediate Statistical Techniques for Machine Learning and Big Data

University of Illinois Chicago 3-4 credits Statistics

Course Description

Modern techniques for statistical learning including linear models, subset selection, partial least squares; LDA; logistic regression; model selection; sampling theory with applications to big data analysis; applied nonparametric inference. Course Information: 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite(s):Grade of C or better in STAT 385; and Grade of C or better in STAT 411 or STAT 481.

Code
STAT 485
Credits
3-4
Subject
Statistics

Programs That Include This Course

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