A Primer on Gaussian Processes for Regression Analysis || Chris Fonnesbeck

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. EVENT:
PyData NYC 2019 SPEAKER:
Chris Fonnesbeck PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks CREDITS:
PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w https://www.youtube.com/watch?v=xBE8qdAAj3w