DATA_O 311 - 101

Machine Learning

Regression, classification, resampling, model selection and validation, fundamental properties of matrices, dimension reduction, tree-based methods, unsupervised learning. [3-2-0] Prerequisite: Either (a) one of STAT 205, STAT 230 or (b) a score more than 75% in one of APSC 254, BIOL 202, PSYO 373; and one of COSC 111, APSC 177.

Section
DATA_O 311 -101
Campus
Okanagan
Delivery Mode
In person
Term
2025-26 Winter Term 1 (UBC-O)
Instructional Format
Lecture
Credits
3.00
Start Date
End Date
Days
Monday, Wednesday
Start Time
11:00 am
End Time
12:30 pm
Instructor(s)
  • Irene Vrbik

We acknowledge that UBC’s two main campuses are situated within the ancestral and unceded territory of the Musqueam people, and in the traditional, ancestral, unceded territory of the Syilx Okanagan Nation and their peoples.

Vancouver Campus
6200 University Blvd
Vancouver, BC Canada V6T 1Z4

Okanagan Campus
3333 University Way
Kelowna, BC Canada V1V 1V7

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