What is Gaussian Process algorithm?

The Gaussian Process algorithm is a probabilistic model in machine learning that describes the joint probability distribution of a set of random variables, where any finite subset follows a multivariate Gaussian distribution. It's often used in non-parametric Bayesian inference, particularly in regression, time series prediction, and system identification, providing probabilistic predictions and quantifying model uncertainty.