Undergraduate Catalog

COSC 434 Introduction to Machine Learning

This course covers various contemporary techniques in machine learning. Overall topics include: classes of machine learning (supervised, unsupervised), feature engineering and selection, logistic regression, non-parametric methods, non-parametric methods, GMM and EM algorithms, neural networks, support vector machine, k-means and hierarchical clustering, etc. The course will use Python machine learning libraries extensively.

Credits

3

Prerequisite

COSC 330, MATH 204, ( MATH 243, or MATH 242)

Offered

Fall Spring