
Machine Learning 2 COMP 9723
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
Fee
Upcoming Sections
14 Nov 2026 – 19 Dec 2026
Delivery Method:
Teacher-led Online
Teacher-led online classes use a learning management system (LMS) and videoconferencing software (which may require a camera and a microphone). A welcome letter with details about the LMS will be emailed to you.
16 Jan 2027 – 27 Feb 2027
Delivery Method:
Teacher-led Online
Teacher-led online classes use a learning management system (LMS) and videoconferencing software (which may require a camera and a microphone). A welcome letter with details about the LMS will be emailed to you.
- Contact Information
- Contact Department:
- Construction, Technology & Trades Department
- Email:
- cetechnology@georgebrown.ca
- Phone:
- 416-415-5000, ext. 4861
- Office Location(s):
- Casa Loma Campus, 160 Kendal Ave., Building C (CLC), Room C426
Read about our textbooks policy, and remember that the Continuing Education attendance policy and closure dates differ from those for full-time college programs.


