STAT 542
Spring 2019 All Classes
All Classes
Credit: 4 hours.
Modern techniques of predictive modeling, classification, and clustering are discussed. Examples of these are linear regression, nonparametric regression, kernel methods, regularization, cluster analysis, classification trees, neural networks, boosting, discrimination, support vector machines, and model selection. Applications are discussed as well as computation and theory.
Same as ASRM 551 and CSE 542. 4 graduate hours. No professional credit. Prerequisite: STAT 410 and STAT 425.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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61880
|
Lecture-Discussion
|
A1
|
11:00AM
-12:20PM
|
TR
|
161 Noyes Laboratory
|
Liang, F
|
|