The Mathematics in Machine Learning project series integrates two crucial subject matters in our course, Mathematics and Computer Science. These two subjects, when intertwined, leading to the emergence of technology that is rooted in the theories of Mathematics and implemented with the reinforcements of Computer Science, in the real world. Just as the NanoEPL (LPL), the Math in ML project is assigned to the Freshmen, who are assisted and mentored by Sophomores and Associate Mentors from the Junior and Senior years. The series extends over a period of two months and the evaluation component comprises progress reports, weekly CoEET evaluation, video logs, and a final presentation before the faculty.
Keep in mind: The team is expected to divide themselves into these eleven roles, as per interest and previous experiences.