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Bayesian machine learning No ratings yet.

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From FastML:

“So you know the Bayes rule. How does it relate to machine learning? It can be quite difficult to grasp how the puzzle pieces fit together – we know it took us a while. This article is an introduction we wish we had back then.”

This article covers the following topics:

  • Bayesians and Frequentists
  • Priors, updates, and posteriors
  • Inferring model parameters from data
  • Model vs inference
  • Statistical modelling
  • Probabilistic machine learning
  • LDA, a generative model
  • Bayesian nonparametrics
    • Gaussian Processes
  • Software
  • Resources

Recommended Prerequisites: none specified

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