STAT433 STATISTICAL MACHINE LEARNING
| Course Code: |
2460433 |
| METU Credit (Theoretical-Laboratory hours/week): |
4(3-2) |
| ECTS Credit: |
6.0 |
| Department: |
Statistics |
| Language of Instruction: |
English |
| Level of Study: |
Undergraduate |
| Course Coordinator: |
Prof.Dr. CEYLAN YOZGATLIGÝL |
| Offered Semester: |
Fall and Spring Semesters. |
| Prerequisite: |
Set 1: 2460411
|
| The course set above should be completed before taking
STAT433 STATISTICAL MACHINE LEARNING. |
Course Content
Regression and prediction, optimization, regularization (Ridge regression and LASSO), neural networks and deep learning, classification, kernel methods and support vector machines, decision trees, bagging and random forest, boosting algorithms, principal component regression, unsupervised deep learning. Applying the methods to real data.
