CIS 6370 - Introduction to Data Science

Credit Hours: 3.00
Lecture Contact Hours: 3.0 Lab Contact Hours: 0.0

Prerequisite: Graduate standing.

Data Mining and Machine Learning techniques to solve real problems. Pattern discovery, clustering, ordering, and analysis of different types of data, such as sets and sequences. Supervised and unsupervised machine learning, tuning model complexity, dimensionality reduction, nonparametric methods, comparing and combining algorithms, and practical applications.
Additional Fee: N