STAT 542
Fall 2016 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.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
50222
|
Lecture
|
A1
|
2:00PM
-3:20PM
|
TR
|
161 Noyes Laboratory
|
Zhu, R
|
|