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CPSC 340 T1F (Tutorial)
Machine Learning and Data Mining
Models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning; applications to computer graphics, computer games, bio-informatics, information retrieval, e-commerce, databases, computer vision and artificial intelligence.
For Credit/D/Fail grading eligibility information for this course, please see the primary (e.g. Lecture) section of this course.
Credits: n/a
Location: Vancouver
Cr/D/F Grading Change Dates
Last day to change between Credit/D/Fail and percentage grading (grading options cannot be changed after this date): September 17, 2019
| Withdrawal Dates | |
|---|---|
| Last day to withdraw without a W standing : | September 17, 2019 |
| Last day to withdraw with a W standing (course cannot be dropped after this date) : | October 11, 2019 |
| Term | Day | Start Time | End Time | Building | Room | 1 | Thu | 11:00 | 12:00 | Hugh Dempster Pavilion | 201 |
|---|
| Instructor: | TBA |
| Seat Summary | |
|---|---|
| Total Seats Remaining: | 27 |
| Currently Registered: | 13 |
| General Seats Remaining: | 27 |
| Restricted Seats Remaining*: | 0 |
Book Summary :
| Information for the books required for this section is not available. |