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bayesian-machine-learning
Jupyter Notebook

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

by krasserm · GitHub
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bayesian-machine-learningbayesian-methodsbayesian-optimizationApache-2.0Jupyter Notebook
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In plain words

Read notebooks that explain Bayesian methods for machine learning and how to implement them.

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2026-07-202026-08-31
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📄 About

Notebooks about Bayesian methods for machine learning

bayesian-machine-learning has 1.9k stars on GitHub. It has been forked 473 times. bayesian-machine-learning is written mainly in Jupyter Notebook. It has been in active development since 2018. bayesian-machine-learning is available under the Apache-2.0 license. Its main topics are bayesian-machine-learning, bayesian-methods, bayesian-optimization, gaussian-processes.

Frequently asked questions

What is bayesian-machine-learning?

Notebooks about Bayesian methods for machine learning

Is bayesian-machine-learning open source?

bayesian-machine-learning is an open-source project. It is released under the Apache-2.0 license.

Is bayesian-machine-learning free?

Yes. bayesian-machine-learning is free and open source — you can use, modify and self-host it.

What license does bayesian-machine-learning use?

bayesian-machine-learning is available under the Apache-2.0 license.

What language is bayesian-machine-learning written in?

bayesian-machine-learning is written mainly in Jupyter Notebook.

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