[MINI] Bayesian Belief Networks - podcast episode cover

[MINI] Bayesian Belief Networks

Aug 04, 201717 min
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Episode description

A Bayesian Belief Network is an acyclic directed graph composed of nodes that represent random variables and edges that imply a conditional dependence between them. It's an intuitive way of encoding your statistical knowledge about a system and is efficient to propagate belief updates throughout the network when new information is added.

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