Five Masters of Science in Data Science students, three alumni, and a staff member from the University of Virginia’s Data Science Institute presented at the 2018 Tom Tom Founders Festival Applied Machine Learning Conference.
Joining Separate Paradigms: Text Mining & Deep Neural Networks to Characterize Cell Type in the Cortex and Hippocampus
A Modified K-Means Clustering Approach to Redistricting U.S. Congressional Districts
MSDS '18 student Jack Prominski presented a talk on using data science to more equitably draw congressional district boundaries in the United States.
Training Drone Image Models with Grand Theft Auto
How to Beat the House: Predicting Football Results with Hyperparameter Optimization
MSDS student Abhimnayu Roy ('18) presented a talk highlighting how data science can be used to predict results in sporting events.