DSCI_V 563 - 001

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 -001
Campus
Vancouver
Delivery Mode
In person
Term
2026-27 Winter Term 2 (UBC-V)
Instructional Format
Lecture
Credits
1.00
Start Date
End Date
Days
Tuesday, Thursday
Start Time
09:30 am
End Time
11:00 am

We acknowledge that UBC’s two main campuses are situated within the ancestral and unceded territory of the Musqueam people, and in the traditional, ancestral, unceded territory of the Syilx Okanagan Nation and their peoples.

Vancouver Campus
6200 University Blvd
Vancouver, BC Canada V6T 1Z4

Okanagan Campus
3333 University Way
Kelowna, BC Canada V1V 1V7

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