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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 Mode of Delivery Interval Days Start Time End Time Section Comments Course Requires
In-Person Attendance
CPSC 330 102Lecture1In-Person Tue Thu11:0012:30Yes
CPSC 330 T1ATutorial1In-Person Fri10:0011:00Yes
CPSC 330 T1BTutorial1In-Person Fri12:0013:00Yes
CPSC 330 T1CTutorial1In-Person Fri14:0015:00Yes
CPSC 330 T1DTutorial1In-Person Thu17:0018:00Yes
BlockedCPSC 330 1W2Waiting List1In-Person Tue Thu11:0012:30Yes
CPSC 330 201Lecture2In-Person Tue Thu12:3014:00Yes
CPSC 330 T2ATutorial2In-Person Fri10:0011:00Yes
CPSC 330 T2BTutorial2In-Person Fri12:0013:00Yes