CSC 431
Machine Learning Theory
Theoretical foundations of machine learning, including learning paradigms and techniques for analyzing the performance of machine learning algorithms for problems in statistical (batch) learning and online (sequential) learning.
Sources
- Course catalogue ↗2026-2027