https://github.com/adijo/bayesian-inference-hello-world

A minimalistic example of bayesian inference. We infer the probability of heads in a series of coin flips.
https://github.com/adijo/bayesian-inference-hello-world

bayesian-inference hello-world machine-learning minimal statistics

Last synced: about 1 year ago
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A minimalistic example of bayesian inference. We infer the probability of heads in a series of coin flips.

• Host: GitHub
• URL: https://github.com/adijo/bayesian-inference-hello-world
• Owner: adijo
• License: wtfpl
• Created: 2019-09-10T00:20:35.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-09-10T01:32:59.000Z (almost 7 years ago)
• Last Synced: 2025-02-01T08:14:19.565Z (over 1 year ago)
• Topics: bayesian-inference, hello-world, machine-learning, minimal, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 479 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

          
# Bayesian Inference - Hello World

Our goal is to infer the probability of heads  𝑝  given a series of coin flips. This is a simple, bare bones but relevant example of Bayesian Inference. For instance, in a real world setting, we might want to infer the parameters of a linear regression model given a series of observations.