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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.

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Stuck on Bayes Theorem

I'm working on a example understanding Bayes, and wondering if my thought process is correct. So I have three users, and true or false if they own Nike or Reebok shoes, or both. I want to calculate …
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2 votes
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Naive Bayes Classifier

I've been working with trying to understand and explain how Naive Bayes classifier works with the adjusted (prior and posterior) probabilities, and wanted to show my example to ensure I'm executing it …
jKraut's user avatar
  • 141