Introductions to statistical learning, modeling, and inference with complex, large, and high-dimensional data. Topics include supervised and unsupervised learning, model selection, dimension reduction, matrix factorization, latent variable models, graphical models, interpretability and causality. Applications in health, social sciences, and engineering.
1 term
Other grades
University of California, Santa Cruz
STAT 227 at UCSC: average GPA 3.95 across 12 students. Grade distribution by term. Introductions to statistical learning, modeling, and inference with complex…
Average GPA: 3.95
Grade distribution records: 12 students across 1 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 2 | 16.7% |
| A | 3 | 25.0% |
| A- | 1 | 8.3% |
| S | 5 | 41.7% |
| U | 1 | 8.3% |
Based on 12 student grade records across 1 term and 1 professor.
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