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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.
- Choose one section from all 2 activity types. (e.g. Lecture and Laboratory)
|Status||Section||Activity||Term||Interval||Days||Start Time||End Time||Comments|
|Full||CPSC 330 102||Web-Oriented Course||1||Tue Thu||11:00||12:30|
|CPSC 330 T1A||Tutorial||1||Fri||10:00||11:00|
|CPSC 330 T1B||Tutorial||1||Fri||11:00||12:00|
|CPSC 330 T1C||Tutorial||1||Fri||12:00||13:00|
|CPSC 330 1W2||Waiting List||1||Tue Thu||11:00||12:30|