Chris Fonnesbeck: A Primer on Gaussian Processes for Regression Analysis | PyData NYC 2019

Описание: Gaussian processes are flexible probabilistic models that can be used to perform Bayesian regression analysis without having to provide pre-specified functional relationships between the variables. This tutorial will introduce new users to specifying, fitting and validating Gaussian process models in Python.

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