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DSCI 572 Supervised Learning II
Support Vector Machines. Random Forests. Ensemble Classifiers. Graphical models.
This course is not eligible for Credit/D/Fail grading.
Credits: 1
Pre-reqs: DSCI 571.
- This course is restricted to students in one of these faculties: GRAD
- Choose one section from all 2 activity types. (e.g. Lecture and Laboratory)
| Status | Section | Activity | Term | Interval | Days | Start Time | End Time | Comments |
|---|---|---|---|---|---|---|---|---|
| Restricted | DSCI 572 001 | Web-Oriented Course | 2 | Mon Wed | 10:30 | 12:00 | ||
| Restricted | DSCI 572 L01 | Web-Oriented Course | 2 | Tue | 13:00 | 15:00 | Reserved for MDS-Vancouver students. | |
| Full | DSCI 572 L02 | Web-Oriented Course | 2 | Mon | 14:00 | 16:00 | Reserved for MDS-Vancouver students. | |
| Full | DSCI 572 002 | Web-Oriented Course | 2 | Tue Thu | 10:30 | 12:00 | Reserved for MDS-Computational Linguistic students. | |
| Full | DSCI 572 L03 | Web-Oriented Course | 2 | Thu | 15:00 | 17:00 | Reserved for MDS-Computational Linguistic students. |
Section Comments
Reserved for MDS-Vancouver students.