Prince Afriyie (University of Virginia)
Abstract
“Attention Is All You Need” is a landmark paper in machine learning authored by scientists at Google in 2017. The ground-breaking paper explains how to train a model using attention as a mechanism that allows it to focus on specific parts of their input. In this session, we will rework this idea in the context of how to direct our students’ attention to help them gain a deeper understanding of useful models. More specifically, we will examine case studies of an essential toolkit of useful models to demonstrate how to absorb our student’s attention through intuition, motivation and model communication. Ultimately, we aim to highlight key attributes that make these models particularly useful in terms of driving value, insights, and decision-making in various application areas.
Bio Sketch:
Prince Afriyie is an associate professor of data science at the University of Virginia’s School of Data Science where he is also the program director of the residential master’s in data science program. Dr. Afriyie’s research includes multiple comparisons as well as statistics and data science education. He currently serves on the Statistics Review Committee for the Centers for Disease Control and Prevention journal, Preventing Chronic Diseases, where he helps to advance understanding and dissemination of statistical methods in the public health field.