Join us for the second tutorial in the series, "Nonlinear regression using Bayesian inference" presented by Mr. John Donaghy, Department of Physics, UNH.
Abstract: This seminar will cover the gaussian process. A gaussian process is tool capable of extracting nonlinear patterns from data using Bayesian inference. We will begin by presenting the short comings of last weeks linear regression as motivation and proceed with an overview of the gaussian process ending with a brief hands on tutorial using scikit-learn.
DeMeritt Hall Room 251, 1:10-2:00 pm