Dec 06, 2022  
2022-2023 Undergraduate Bulletin 
    
2022-2023 Undergraduate Bulletin
Add to Personal Catalog (opens a new window)

CSC 156 - Introduction to Machine Learning

Semester Hours: 3
Periodically
The course introduces the mathematical, algorithmic and practical aspects of machine learning. Students will learn how to design applications that learn from data and past experience. Applications include classification, clustering, prediction, decision making. Among topics covered in the class are: regression, neural networks, decision trees, support vector machines, model and feature selection, ensemble methods, boosting, clustering, graphical models.

Prerequisite(s)/Course Notes:
CSC 017 , 185 ; MATH 071 ; or permission of instructor. May not be taken on a Pass/D+/D/Fail basis.





Add to Personal Catalog (opens a new window)