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DSCI 563 Unsupervised Learning

Unsupervised learning. K-means/medoids. Model-based clustering. Expectation-maximization algorithm. Hierarchical clustering. Dimension reduction. Matrix decomposition. Heatmaps, contour plots, dendograms.

This course is not eligible for Credit/D/Fail grading.

Credits: 1

Pre-reqs: All of DSCI 511, DSCI 521.


Status Section Activity Term Interval Days Start Time End Time Comments
RestrictedDSCI 563 001Lecture2 Mon Wed9:0010:30

Reserved for MDS-Vancouver students.

FullDSCI 563 L01Laboratory2 Mon14:0016:00

Reserved for MDS-Vancouver students.

RestrictedDSCI 563 L02Laboratory2 Tue14:0016:00

Reserved for MDS-Vancouver students.

FullDSCI 563 002Lecture2 Mon Wed10:3012:00

Reserved for MDS-Computational Linguistic students.

FullDSCI 563 L03Laboratory2 Wed14:0016:00

Reserved for MDS-Computational Linguistic students.