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.
Prerequisite
COSC 330, MATH 204, MATH 242, MATH 243
Offered
Fall Spring