In the machine learning context, how useful and reliable Bayes’ theorem is?

 In the machine learning context, how useful and reliable Bayes’ theorem is?

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    Bayes’ theorem incorporates prior knowledge while calculating the probability of occurrence of the same in future. So, the bayesian probability of some event B occurring provided the prior knowledge of another event(s) A, given that B is dependent on event A (even partially).

    The approach allows for learning from experience, and it combines the best of classical AI and neural nets.

    Answered on March 5, 2019.
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