DATA 4319 - Statistical and Machine Learning

Credits: 3 Class: 3 Lab: 0
Crosslisted: CS 4319
Prerequisite(s): A grade of C or better in DATA 3401. Corequisite(s): Enrollment in MATH 3423 and STAT 3333.
This course blends the predictive perspective of statistical pattern recognition and the algorithmic perspective of machine learning. Topics include, but are not limited to: applications of appropriate machine learning algorithms in various disciplines, prediction and performance metrics, data transformations, supervised and unsupervised learning, and ensemble methods.