EPIB674
Foundations of Machine Learning in Public Health
This graduate-level course in machine learning focuses on modern techniques for analyzing complex and massive data sets. Emphasis is placed on applications, computational methods, and the theoretical foundations of machine learning.
During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.
Average GPA of 3.96 between 7 students*
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.