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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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Decision boundaries and Gaussian density functions
This is for my hw, and if anyone can solve the first part of the question it will be great.
Here is the question:
Assume a two-class problem with equal a priori class probabilities and Gaussian class …