ECON 522
Spring 2026 Part of Term 1
Part of Term 1
Jan 20-May 6
Jan 20-May 6
Credit: 4 hours.
Overview of different concepts, techniques, and algorithms in machine learning with a view towards applications in economics. Topics covered include regression, classification, model selection, predictive accuracy such as regularized regression, decision trees, boosting, support vector machines, and neural networks. Students acquire the skills to apply basic machine learning methods to solve economics problems.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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77837
|
Lecture-Discussion
|
M1
|
2:00PM
-3:20PM
|
TR
|
119 David Kinley Hall
|
Bilias, Y
|
|