Jul 02, 2020  
College Catalog 2018-2019 
College Catalog 2018-2019 [ARCHIVED CATALOG]

MATH 253 - Machine Learning

The linear and logistic modeling techniques from MATH 155  are augmented with the three foundational machine learning tasks: regression, classification, and clustering.  The course explores techniques central to these tasks, including methods of data exploration, supervised and unsupervised learning, parametric and nonparametric modeling, and model training and evaluation.  As required by the application of these sophisticated techniques, the course also introduces foundational statistical computer programming concepts.    Prerequisite(s): MATH 155   Every semester (4 Credits)