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: CMPT 2091, CMPT 2400, CMPT 3510 Restricted to Machine Learning Analyst

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


Term Duration Schedule Class Section Open Studies

Edmonton
Winter Jan 9 - Apr 28, 2023 Fri: 08:00 - 09:30 am
Tue: 08:00 - 09:30 am
 10665 A01 No
Term Duration Schedule Class Section Open Studies

Edmonton
Winter Jan 9 - Apr 28, 2023 Fri: 08:00 - 09:30 am
Tue: 08:00 - 09:30 am
 10667 H01 No

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

Machine Learning Analyst

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