DSCI_V 563 - 002
Unsupervised Learning
Unsupervised learning. K-means/medoids. Model-based clustering. Expectation-maximization algorithm. Hierarchical clustering. Dimension reduction. Matrix decomposition. Heatmaps, contour plots, dendograms. Prerequisite: All of DSCI_V 511, DSCI_V 521.
- Section
- DSCI_V 563 -002
- Campus
- Vancouver
- Delivery Mode
- In person
- Term
- 2025-26 Winter Term 2 (UBC-V)
- Instructional Format
- Lecture
- Credits
- 1.00
- Start Date
- End Date
- Days
- Monday, Wednesday
- Start Time
- 11:00 am
- End Time
- 12:30 pm
- Instructor(s)
-
- Hedayat Zarkoob