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CPSC 340 201 (Lecture)

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.

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

Location: Vancouver

Term 2 (Jan 04, 2021 to Apr 08, 2021)

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): January 15, 2021


Withdrawal Dates
Last day to withdraw without a W standing : January 15, 2021
Last day to withdraw with a W standing
(course cannot be dropped after this date) :
March 05, 2021

TermDay Start TimeEnd TimeBuildingRoom
2 Mon Wed Fri16:0017:00Hugh Dempster Pavilion310
Instructor: GELBART, MICHAEL
Note: this section is full

Seat Summary
Total Seats Remaining:0
Currently Registered:146
General Seats Remaining:0
Restricted Seats Remaining*:0
    *These seats are reserved for students who meet one of the following sets of restrictions:
 
  1. in one of these categories: Exchange Student, Visitor
-  Select one Tutorial from sections T2A, T2B, T2C, T2D, T2E

Book Summary :
Information for the books required for this section is not available.