MTH 483 taught by Ekaterina A Rapinchuk (Course & Instructor) - Grade Details
(with breakdown by semester)
Course Title: Mathematical Machine Learning
Course Description: Regression, clustering, dimension reduction, density estimation, anomaly detection, classification, and related methods (e.g., k-nearest neighbors, support vector machines, neural networks, decision trees, random forests), autoencoders, generative adversarial networks, and existing machine learning tools, training methods, and software.
MTH 483 / Ekaterina A Rapinchuk - All Semesters
Average Grade - 3.611
Median Grade - 4.0
Latest grades from Spring 2026
MTH 483 / Ekaterina A Rapinchuk - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Spring 2026 | Average Grade - 3.615 Median Grade - 4.0 |
39 |
| Spring 2025 | Average Grade - 3.607 Median Grade - 4.0 |
42 |
Back to Overview for MTH 483 / Ekaterina A Rapinchuk
Spring 2026
Average Grade - 3.615
Median Grade - 4.0
Back to Overview for MTH 483 / Ekaterina A Rapinchuk
Spring 2025
Average Grade - 3.607
Median Grade - 4.0