COSC 434 Introduction to Machine Learning

This course covers contemporary techniques in machine learning. Topics include types of machine learning (supervised, unsupervised), time series analysis, linear regression and regularization strategies, neural networks in regression, deep learning and convolutional neural networks, linear and non-linear support vector machines, k-means and hierarchical clustering, etc. The course makes extensive use of Python’s machine-learning libraries.

Credits

3

Prerequisite

COSC 330

Distribution

2-3-3

Offered

Fall Spring