  In this innovative practice work-in-progress paper, we compare two different
methods to teach machine learning concepts to undergraduate students in
Electrical Engineering. While machine learning is now being offered as a
senior-level elective in several curricula, this does not mean all students are
exposed to it. Exposure to the concepts and practical applications of machine
learning will assist in the creation of a workforce ready to tackle problems
related to machine learning, currently a hot topic in industry. Preliminary
assessments indicate that this approach promotes student learning. While
students prefer the proposed side-by-side teaching approach, numerical
comparisons show that the workshop approach may be more effective for student
learning, indicating that further work in this area is required.
