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CSCI 5750
Machine Learning

Course Description

This course introduces students to the field of machine learning with emphasis on the probabilistic models that dominate contemporary applications. Students will discover how computers can learn from examples and extract salient patterns hidden in large data sets. The course will introduce classification algorithms that predict discrete states for variables as well as regression algorithms that predict continuous values for variables. Attention will be given to both supervised and unsupervised settings in which (respectively) labeled training data is or is not available. Emphasis is placed on both the conceptual relationships between these different learning problems as well as the statistical models and computational methods used to employ those models.


Spring 2019Kevin ScannellMWF 10:00am-10:50am
Spring 2018Kevin ScannellMWF 2:10pm-3:00pm
Fall 2015Kevin ScannellTR 9:30am-10:45am