An Introduction to Gaussian Process Regression and Bayesian Inference

Posted on Mon 10 January 2022 in Machine Learning, Gaussian Processs, Bayesian Inference

Gaussian Process Regression

A Gaussian process model is a probabilistic supervised machine learning model that can be used for regression, classification, among many other things. A Gaussian process regression (GPR) model makes predictions incorporating prior knowledge. Being a Bayesian method, it can provide uncertainty measures of the predictions. E.g …