Machine Learning for Music
Teaching assistant for a course applying core machine learning and statistical methods to music data.
Term: Spring
Location: University of California, San Diego
Role
Teaching Assistant, Spring 2025 (March – June).
What this covered
- Built and maintained course notebooks applying logistic regression, SVMs, k-NN, TF-IDF, and stratified k-fold cross-validation.
- Wrote technical slide content on linear regression, neural networks, activation functions, convolutional neural networks, and evaluation metrics.