CSCI 416 - Introduction to Machine Learning

Fall (3) Prerequisite(s): CSCI 303 and MATH 211

An introduction to the theory and practice of machine learning, focusing primarily on deterministic methods for classification and prediction. Topics include decision trees, artificial neural networks, support vector machines, kernel methods, ensemble methods, clustering methods, dimension reduction, performance evaluation, data preprocessing, and hyperparameter tuning.