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Course description

Practice Artificial Intelligence and Machine Learning in a real-world project with this capstone course. You will directly apply the knowledge and skills learned in previous courses through modeling from datasets and deploying predictive models that help business decisions. This project is designed to mirror real-world applications independently, and is student-led and developed, with support from the instructor when needed. The modeling will include a written project report using the CRISP-DM format.

Prerequisites

XMLE 10003 - Deep Learning, Natural Language Processing and Computer Vision with a minimum grade of C

Applies towards:

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Select a section to register
Section title
Machine Learning Applied Business Project
Type
ON - Online
Dates
May 29, 2023 to Jun 25, 2023
Schedule and Location
View Details
Contact Hours
40.0
Delivery options
Online  
Course Fee(s)
TXMI non-credit $2,399.00
Potential Discount(s)
Drop Request Deadline
May 25, 2023
Transfer Request Deadline
May 25, 2023
Section Notes

Your course will include 3 virtual live sessions using Google Meet on Saturdays 9am-1pm, during the same afternoons students will have time to work in the database and your instructor will hold virtual office hours. 

It is highly recommended that you have a wired internet connection for this course, or a very high speed connection.

Please review the Student Information site for required course information: mru.ca/cestudent.

For questions about your course, please contact us at cehealth@mtroyal.ca or call us at 403.440.6867 or 1.888.392.3655, (office hours 8:30am-4:30pm Mon-Fri).

Course materials will be available on your D2L site 3 days prior to the course start date. Your instructor will be available on the course start date.
Your instructor will provide you with information on how to access the required supplemental course database.

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