Cadets explore the potential of data-driven machine learning algorithms to solve complex engineering problems. Cadets build models that rival and even surpass human-level performance on a range of tasks. Cadets analyze problems, design and compare models suited to the objective, and implement their approach in software. The course culminates in an open-ended project of the cadets' choosing. In this project, cadets build a model that achieves superior results on a task that would otherwise require human cognition to perform.
Lessons
30 @ 75 min (2.000 Att/wk)
Labs
0 @ 0 min
Special requirements
A course project is required. Compensatory time is given.
