This repository contains a simple example of Bayesian regression in an interactive notebook.
The notebook is designed to run in Google's colaboratory framework:
http://colab.research.google.com/
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Open a browser and go to http://colab.research.google.com/
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Select "Open Notebook" from the menu
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Select "GitHub" and type "
ndfcampbell/bayesian_regression_demo" into the address bar -
Load the BayesianRegressionDemo.ipynb file and select run all!
Copyright (C) 2022 Neill D. F. Campbell based on the Bayesian Machine Learning course at the University of Bath with material from Mike Tipping.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Additional Notice: This material is to be used for non-commercial teaching purposes only and not for use in production nor by any profit-making venture.