Course description

This 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

Additional information: This course is offered through ed2go. Find out more about ed2go courses.

Notice for ed2go courses


ed2go online courses are designed for working professionals and those seeking to gain personal advancement. If you are enrolled in a program, carefully review the requirements of your program before registering to ensure the course code and title match the requirements in your program.


Dates
Day/Time
Delivery
Campus
Cost
Availability
Start Date: Jul. 13, 2022
End date: Sep. 12, 2022
Day/Time:
Campus: Online
Cost: $185.00
Start Date: Aug. 17, 2022
End date: Oct. 17, 2022
Day/Time:
Campus: Online
Cost: $185.00

Registration dates

Not all courses are offered each term.

Fall 2022 registration opens July 25, 2022. Winter 2023 registration opens November 28, 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