AI_V 240 - L2A

Introduction to Machine Learning

Core methodological paradigms in machine learning. Models for supervised prediction and unsupervised analysis. Deep learning techniques using differentiable programming. [3-2-0] Prerequisite: Both (a) one of CPSC_V 107, CPSC_V 110 and (b) one of MATH_V 111, MATH_V 131, MATH_V 152, MATH_V 221, MATH_V 223.

Section
AI_V 240 -L2A
Campus
Vancouver
Delivery Mode
In person
Term
2026-27 Winter Term 2 (UBC-V)
Instructional Format
Laboratory
Credits
4.00
Start Date
End Date
Days
Wednesday
Start Time
10:00 am
End Time
12:00 pm

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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