AI_V 240 - L2B
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 -L2B
- 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
- 12:00 pm
- End Time
- 02:00 pm