MSE 2500 — Machine Learning

3 credits · 3 hours

Feature and model types, training dates, classification and regression models. Model evaluation, validation, and hyperparameter tuning. Support vector machines, neural networks, and k-means. Decision trees, ensemble models, clustering, dimensionality reduction, and unlabeled data.

Prerequisites: MSE 1500