Machine Learning 2 COMP 9723

Online

Our Machine Learning 2 course helps you build upon your foundational knowledge as you explore advanced machine learning (ML) algorithms and techniques. Explore algorithms, including the random forest algorithm, the gradient boosting algorithm, and the support vector machine algorithm as well as clustering algorithms (including k-means clustering and hierarchical clustering). Also consider neural networks, dimensionality reduction techniques (including principal component analysis), and more. Through practical projects and hands-on exercises, learn how to solve complex problems in diverse domains through the implementation and application of these advanced ML algorithms.

Prerequisites

You must have completed our COMP 9721 Machine Learning 1 course.

Hours and Fees

Hours

42

Fee

$391.58

Course Sections

There are no classes currently scheduled for this course; however, check back to see if we have developed additional schedules for the upcoming term. Classes for our 2025–26 academic year will launch in early July.
If you would like to receive an email update for the future 2025–26 academic year, complete our notification sign-up form. You will also receive reminders when each academic term starts, beginning with Fall 2025.
Contact:
Technology Department
Phone:
Office Location(s):

Read about our textbooks policy, and remember that the Continuing Education attendance policy and closure dates differ from those for full-time college programs.