Overview on Gaussian Processes Data Science Concepts
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Neil Lawrence: Fitting Covariance and Multi-output Gaussian Processes
Chris Fonnesbeck: A Primer on Gaussian Processes for Regression Analysis | PyData NYC 2019
Deep Gaussian Processes for Bayesian Inversion: Matt Dunlop, Courant
Machine learning - Introduction to Gaussian processes
AI Bootcamp 2020 - Gaussian Process: Prof Niel. Lawrence
Neil Lawrence: Fitting Covariance and Multi-output Gaussian Processes
Derek Bingham: Computer Model Emulation and UQ Using a Deep Gaussian Process
Pathwise Conditioning and Non-Euclidean Gaussian Processes
Deep and Multi-fidelity learning with Gaussian processes: Andreas Damianou, Amazon
TensorFlow London: Introduction to Gaussian processes using TensorFlow based library GPflow
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Last Updated: August 15, 2026
Summary
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