Apr 12, 2024  
2019 - 2020 Undergraduate Catalog 
2019 - 2020 Undergraduate Catalog [ARCHIVED CATALOG]

CSCI 416 - Introduction to Machine Learning

Credits: (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.