About this document
An Intuitive Tutorial To Gaussian Process Regression (Paper) by mazpiazu011 is a document available to read on EtoBox.
This tutorial provides an intuitive introduction to Gaussian Process Regression (GPR), highlighting its flexibility and ability to quantify uncertainty in predictions. It covers foundational concepts such as multivariate normal distribution, kernels, and non-parametric models, making GPR accessible to a broad audience, including beginners in machine learning. The tutorial includes practical code examples and reviews packages for implementing GPR algorithms.
- Author
- mazpiazu011
- Language
- EN