MTH 483 (Course) - Grade Details

(with breakdown by instructor)

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.

• Grade Summary (All Instructors)
• Overview (Instructor Breakdown)
• Di Liu
• Ekaterina A Rapinchuk

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