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
Not all courses are offered each term.Spring 2022 registration opens February 7, 2022. Fall 2022 registration opens July 4, 2022.
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