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Machine Learning II - CMPT 3520

Through this course students will learn how machine learning solutions are developed and operationalized up to the deployment stage. Students will learn about more advanced machine learning algorithms, and explore how data and algorithm selections influence machine learning model performance. Students will learn to train and test machine learning models to achieve targeted business outcomes, including identifying success metrics and evaluating model performance.      Students will learn how to identify the ways machine learning models can amplify data biases, and develop solutions to reduce their negative impact.

Note: Prerequisites: A minimum grade of C in CMPT 2091, CMPT 2400, CMPT 3510 Restricted to Machine Learning Analyst


This course is delivered in a classroom setting with face-to-face instruction at regularly scheduled times.
Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep. 2 - Dec. 12, 2025 Mon, Wed: 12:30 - 02:00 pm
 40402 A01 No
Winter Jan. 5 - Apr. 17, 2026 Mon, Wed: 12:30 - 02:00 pm
 10344 A01 No
For each course session or class time, you can choose to attend in person, online in real-time or watch a previously recorded session.
Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep. 2 - Dec. 12, 2025 Mon, Wed: 12:30 - 02:00 pm
 40404 H01 No
Winter Jan. 5 - Apr. 17, 2026 Mon, Wed: 12:30 - 02:00 pm
 10346 H01 No

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To take this course apply to our Machine Learning Analyst program. Read our application guide and apply now.

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