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CPSC 330 Applied Machine Learning

Application of machine learning tools, with an emphasis on solving practical problems. Data cleaning, feature extraction, supervised and unsupervised machine learning, reproducible workflows, and communicating results.

This course is eligible for Credit/D/Fail grading. To determine whether you can take this course for Credit/D/Fail grading, visit the Credit/D/Fail website. You must register in the course before you can select the Credit/D/Fail grading option.

Credits: 3

Pre-reqs: Either (a) one of CPSC 203, CPSC 210, CPEN 221 or (b) MATH 210 and one of CPSC 107, CPSC 110.

Status Section Activity Term Interval Days Start Time End Time Comments
FullCPSC 330 201Lecture2 Tue Thu11:0012:30
CPSC 330 T2ATutorial2 Fri11:0012:00
FullCPSC 330 T2BTutorial2 Fri13:0014:00
CPSC 330 T2CTutorial2 Fri14:0015:00
BlockedCPSC 330 2W1Waiting List2 Tue Thu11:0012:30