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.

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 each of MATH 1001 and MATH 1205. Co-requisite: CMPT 2400. 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. 1 - Dec. 16, 2026 Tue, Thu: 11:00 am - 12:30 pm
 41213 A01 No
Winter Jan. 4 - Apr. 16, 2027 Tue, Thu: 11:00 am - 12:30 pm
 11229 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. 1 - Dec. 16, 2026 Tue, Thu: 11:00 am - 12:30 pm
 41214 H01 No
Winter Jan. 4 - Apr. 16, 2027 Tue, Thu: 11:00 am - 12:30 pm
 11230 H01 No

This is an in-page alert component.


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

Have a question about the Machine Learning I course?

Request more information »