CS 430 Machine Learning

(3-0-3) This course provides an overview of machine learning algorithms and their applications. Topics include dimensionality reduction, feature selection, supervised learning, unsupervised learning, clustering algorithms, classification algorithms, linear regression, logistic regression, deep learning, anomaly detection and applications of machine learning.

Credits

3

Prerequisite

CS 303