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Sum Rule, Product Rule, Joint & Marginal Probability - CLEARLY EXPLAINED with EXAMPLES!
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This tutorial explains various types of probabilities (Joint, Conditional, and Marginal) and also the rules (Sum, Product, and Bayes) to compute them. The tutorial also shows the derivations and formulations of these rules.
Most of the Bayesian statistics is based on the consistent applications of these rules. Therefore, having a good understanding as well as knowing how to apply them is of critical importance.
The example used in this tutorial is taken from chapter 1 of Dr. Bishop's book.
Most of the Bayesian statistics is based on the consistent applications of these rules. Therefore, having a good understanding as well as knowing how to apply them is of critical importance.
The example used in this tutorial is taken from chapter 1 of Dr. Bishop's book.
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