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

Channel:
United States Coding Tech
Subscribers:
725,000
Published on ● Video Link: https://www.youtube.com/watch?v=xBE8qdAAj3w


Duration: 1:30:10
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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



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Tags:
python
regression analysis
data science
statistics