COMP 379: Machine Learning
Course Information
About
Description
Machine learning is the process of making predictions and decisions from data without being explicitly programmed. Topics include a variety of supervised learning methods. Ensemble approaches are used to combine independent models efficiently. Unsupervised and semi-supervised methods demonstrate the power of learning from data without an explicit training goal.
Outcome
Students in this course will learn how to apply sophisticated algorithms to large data sets to make inferences for prediction or decision making.
Syllabi
See the Current Course Syllabi.