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MTH 483 (Course) - 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.
Spring 2025
Average Grade - 3.607
Median Grade - 4.0