Dr. Rebecca Bilbro is a data scientist, Python programmer, teacher, speaker, and author in Washington, DC. She specializes in visual diagnostics for machine learning, from feature analysis to model selection and hyperparameter tuning, and has conducted research on natural language processing, semantic network extraction, entity resolution, and high dimensional information. An active contributor to the open source software community, Rebecca enjoys collaborating with other developers on inclusive, high-impact projects like Yellowbrickâa pure Python package that aims to take predictive modeling out of the black box. Rebecca earned her doctorate from the University of Illinois, Urbana-Champaign, where her research centered on communication and visualization practices in engineering.
Sunday 11:45 AM–12:30 PM in Modeling & Data Techniques - Rm 100A