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</html><description>Description: Gaussian Process Regression is a Bayesian regression technique that uses Gaussian processes to model the distribution of possible functions. History: Gaussian Process Regression has its roots in stochastic process theory and was formalized in the context of statistics and machine learning in the 1990s. Although the concepts of Gaussian processes date back to earlier [&hellip;]</description></oembed>
