ADAN 7220
Mathematical Methods for Machine Learning I
Machine learning is the design of algorithms that routinely learn and adapt with use to discover hidden properties, patterns, and trends in complex data. This is a semester course on foundational methods in linear algebra and vector calculus to understand the structure and dimensionality of large and complex datasets.
Sources
- Course catalogue ↗2026-2027
Catalogue variants
- Mathematical Methods for Machine Learning I · 3