Introduction to Machine Learning

Code: MACH1790

Course description

The Introduction to Machine Learning course will allow you to learn about specific techniques used in supervised, unsupervised, and semi-supervised learning, including which applications each type of machine learning is best suited for and the type of training data each requires.You will discover how to differentiate offline and online training and predictions, automated machine learning, and how the cloud environment affects machine learning functions. Additionally, you will explore some of the most significant areas in the field of machine learning research

Course details

Hours: 24
Credits: 1
Prerequisites: None
Corequisites: None

Credit transfer

Have you taken this course or an equivalent course? Contact the Credit Transfer Office.

Dates
Day/Time
Delivery
Campus
Cost
Availability
Start Date: Feb. 9, 2022
End date: Apr. 11, 2022
Day/Time:
Campus: Online
Cost: $185.00
Start Date: Mar. 16, 2022
End date: May. 16, 2022
Day/Time:
Campus: Online
Cost: $185.00

Registration dates

Not all courses are offered each term.

Spring 2022 registration opens February 7, 2022. Fall 2022 registration opens July 4, 2022.

Delivery options

In person: classes held in person on a campus/site in a classroom/lab/shop/studio for the course duration

Online - Asynchronous: ​100% online delivery with no assigned day or time requirements, independent course completion

Online - Synchronous: 100% online delivery with scheduled day and time course requirements

Hybrid: any combination of: in person, timetabled, on campus, online, and hyflex delivery