Monday, November 9, 2026 – Monday, November 23, 2026 · 1:50 PM
RE 104, Chicago, IL
Free
Featuring Ruhui Jin
Catch Ruhui Jin from Johns Hopkins University at Illinois Institute of Technology’s Applied Mathematics and Statistics Seminar, where they’ll break down how to pick the most useful data points for reliable learning. The talk digs into probabilistic experimental design, touching on smart sensor placement and randomized tricks that make the math faster. It’s a solid pick for anyone curious about the clever side of data selection.