Chris Fonnesbeck: A Primer on Gaussian Processes for Regression Analysis | PyData NYC 2019
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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Видео Chris Fonnesbeck: A Primer on Gaussian Processes for Regression Analysis | PyData NYC 2019 канала PyData
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Видео Chris Fonnesbeck: A Primer on Gaussian Processes for Regression Analysis | PyData NYC 2019 канала PyData
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