Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

This project creates a 2D black hole gravitational lensing simulation using OpenGL and the Schwarzschild metric. You'll visualize how light rays bend around a massive black hole using numerical ...

Our museums, education, and research centers work at intersections that spark imagination and encourage discovery—between art and the environment, space exploration and women’s history, cultural ...