The +DS program held a student showcase on Wednesday, December 4, 2019 from 4:30-6:00 PM in the Energy Hub Atrium (first floor of Gross Hall). More than 30 student posters were presented.
27 teams with 62 students presented from the +DS fall 2019 course POE 190.01/POE 790.01 “Introduction to Machine Learning Methods and Practice.” This mini-class has introduced students to machine learning methods that have become increasingly useful in practice, specifically deep learning and neural networks. The student have produced their end-of-semester projects with applications of machine learning to a problem of relevance to their field of study or major.
5 teams with 8 students presented from the +DS Advanced Projects. Students who have previously completed the +DS curriculum are eligible to apply for the Advanced Projects, typically structured as an independent study project, where they are mentored by experts in data science partnered within clinicians in areas of focus including dermatology, ophthalmology, pathology, radiology, and cardiology.
These +DS project-based learning teams offer Duke students, both undergraduate and graduate, the opportunity to be a part of teams applying advanced data science methods and machine learning to real-world problems, and as a means of learning the important field of machine learning in a manner that is accessible and adaptive to all Duke students.
