Machine Learning I - CMPT 3510

This course introduces students to major machine learning concepts and several      fundamental machine learning algorithms. Students will learn to conceptualize machine learning solutions for basic business problems, and will learn the stages of realizing a machine learning project. This includes defining the business problem, preparing data, and creating and evaluating machine learning models.

Note: Prerequisites: A minimum grade of C in STAT 1151, MATH 1001 Co-requisite: CMPT 2400 Restricted to Machine Learning Analyst


Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep. 3 - Dec. 20, 2024 Tue, Thu: 11:00 am - 12:30 pm
 40410 A01 No
Fall Sep. 3 - Dec. 20, 2024 Mon: 02:00 - 03:30 pm
Fri: 09:30 - 11:00 am
 40414 A03 No
Winter Jan. 6 - Apr. 25, 2025 Tue, Wed: 11:00 am - 12:30 pm
 10378 A01 No
Winter Jan. 6 - Apr. 25, 2025 Mon, Tue: 09:30 - 11:00 am
 10382 A03 No
Term Duration Schedule Class Section Open Studies

Edmonton
Fall Sep. 3 - Dec. 20, 2024 Tue, Thu: 11:00 am - 12:30 pm
 40412 H02 No
Fall Sep. 3 - Dec. 20, 2024 Mon: 02:00 - 03:30 pm
Fri: 09:30 - 11:00 am
 40416 H04 No
Winter Jan. 6 - Apr. 25, 2025 Tue, Wed: 11:00 am - 12:30 pm
 10380 H02 No
Winter Jan. 6 - Apr. 25, 2025 Mon, Tue: 09:30 - 11:00 am
 10384 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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