STAT 205: Intro Stat Learning
University of California, Santa Cruz
Introduction to classical statistical inference. Topic include: random variables and distributions; types of convergence; central limit theorems; maximum likelihood estimation; Newton-Raphson, Fisher scoring, Expectation-Maximization, and stochastic gradient algorithms; confidence intervals; hypothesis testing; ridge regression, lasso, and elastic net.
Average GPA: 3.76
Grade distribution records: 10 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 1 | 10.0% |
| A | 3 | 30.0% |
| A- | 1 | 10.0% |
| B+ | 2 | 20.0% |
| P | 1 | 10.0% |
| S | 1 | 10.0% |
| U | 1 | 10.0% |
Based on 10 student grade records across 1 term and 1 professor.
Instructors
- Jiangeng Huang 10 students, Average GPA 3.76