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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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Application of Bayesian Networks to tabular data
I have been going through some tutorials regarding Bayesian Networks, but i have yet to see them applied to tabular data, i.e. a dataset. …
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Bayes Theorem representation in Machine Learning [duplicate]
I am going through a Machine Learning tutorial, where the problem statement is expressed using Bayes theorem. Particularly,
$P(y|Data) = \frac{P(Data|y) P(y)}{\int P(Data)}$
The data part is particula …