Apr 18, 2024

2019-2020 Undergraduate Catalog

2019-2020 Undergraduate Catalog [Not Current Academic Year. Consult with Your Academic Advisor for Your Catalog Year]

MATH 4323 - Data Science and Statistical Learning

Credit Hours: 3.0
Lecture Contact Hours: 3 Lab Contact Hours: 0

Prerequisite: MATH 3339.
Description
Theory and applications for such statistical learning techniques as maximal marginal classifiers, support vector machines, K-means and hierarchical clustering. Other topics might include: algorithm performance evaluation, cluster validation, data scaling, resampling methods. R Statistical programming will be used throughout the course.
Additional Fee N