Modeling with Machine Learning for Computer Science

3-0-3 units · Graduate

Focuses on in-depth modeling of engineering tasks as machine learning problems. Emphasizes framing, method design, and interpretation of results. In comparison to broader co-requisite 6.C01 / 6.C51 , this project oriented subject consists of deep dives into select technical areas or engineering tasks involving both supervised and exploratory uses of machine learning. Deep dives into technical areas such robustness, interpretability, fairness; engineering tasks such as recommender systems, performance optimization, automated design. Students taking graduate version complete additional assignments. Students cannot receive credit without completion of the core subject 6.C51 .