ENGT 3502K - Applied Machine Learning

Credits: 3

This course prepares students to understand the intersection of Machine Learning and Embedded IoT (Internet of Things) devices. The course covers the introduction of embedded Machine Learning frameworks like TensorFlow Lite. The course will focus on building projects running Machine Learning (ML) on embedded device. Student must have basic knowledge of a programming language.

Prerequisite(s): CSCI 1301 or CSCI 1371