DATASCI 415
Statistical Machine Learning
This course covers the principles of data mining, exploratory analysis and visualization of complex data sets, and predictive modeling. The presentation balances statistical concepts (such as over-fitting data, and interpreting results) and computational issues. Students are exposed to algorithms, computations, and hands-on data analysis in the weekly discussion sessions.
Prerequisites & course information
STATS 413. (Prerequisites enforced at registration.) (4). (BS). May not be repeated for credit.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Statistical Machine Learning · 4 · Graduate credit