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 3510 Restricted to Machine Learning Analyst


Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep. 3 - Dec. 20, 2024 Mon, Tue: 09:30 - 11:00 am
 40418 A01 No
Winter Jan. 6 - Apr. 25, 2025 Wed, Fri: 12:30 - 02:00 pm
 10386 A01 No
Winter Jan. 6 - Apr. 25, 2025 Mon, Tue: 03:30 - 05:00 pm
 10390 A02 No
Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep. 3 - Dec. 20, 2024 Mon, Tue: 09:30 - 11:00 am
 40420 H01 No
Winter Jan. 6 - Apr. 25, 2025 Wed, Fri: 12:30 - 02:00 pm
 10388 H01 No
Winter Jan. 6 - Apr. 25, 2025 Mon, Tue: 03:30 - 05:00 pm
 10392 H04 No

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To take this course, you must be enrolled in one of the related programs:

Machine Learning Analyst

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