Nov 21, 2024  
2024-2025 Undergraduate Catalogue 
    
2024-2025 Undergraduate Catalogue

DSC 301 - Introduction to Machine Learning


Introduction to machine learning, including necessary linear algebra topics, such as vectors, matrices, eigenvalues, eigenvectors, symmetric matrices and singular value decompositions. Considers gradient descent methods to optimize predictive and classification models, dimension reduction, clustering, cross validation, grid search, data visualization and dashboards.

Credit Hours: 3

Prerequisite Courses: MAT 151  or MAT 161 .
Course Repeatability: Course may not be repeated.


Click here for the Spring 2025 Class Schedule.