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

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The personal information requested on this form is collected under the authority of section 33(c) of Alberta’s Freedom of Information and Protection of Privacy Act and will be used to process your request for information, for internal statistical and enrolment management purposes and to provide ongoing information regarding our courses, programs or events. For information about the collection and use of this information, contact the Regulatory & Compliance Coordinator at 10215 108 Street NW, Edmonton, AB, T5J 1L6, Tel. 780.644.6000.


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

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