Stephen started a two-part series on Gaussian processes (GPs), a Bayesian, nonparametric statistical model with built-in uncertainty quantification.
This week will be investigating the mathematical and computational properties of multivariate Gaussians in R^n, which occur in a wide variety of applications.
The slides may be found here.
Next week will be its infinite dimensional generalization to functional spaces, the RKHS theory, and a GP tutorial.
Previous: Cryptography: algorithms and applications
Christian presented on the field of cryptography, including its applications and some interesting algorithms.
continue reading ❯