Project Instructions

There will be two tracks to the final project in this course. More details and a rubric will be provided as the semester progresses:

Track 1: Applied ML: Choose a real-world problem, identify how and why machine learning could be helpful, and find or collect a relevant dataset for the problem. Then, establish reasonable baselines and compare performance of several different ML techniques learned in class.
Track 2: Research: Identify a gap in the literature for an ML topic of interest, and then propose and execute experiments to address the gap. Then, write a NeurIPS/ICML/ICLR-style paper.

In either case, the project will involve forming groups of 2-3 students and writing an 8-page paper on your project.

Key Dates