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Artificial Intelligence Practice Test: Bayesian Networks
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A Bayesian network is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph.

Artificial Intelligence Practice Test: Bayesian Networks
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10 Questions

1. Which of the following is desired to build probabilistic systems feasible in the world?
2. The Bayesian network is very helpful to answer any query?
3. How many terms do we need to construct a Bayes model?
4. Suppose you are creating a bayesian network. Which of the following is the outcome between a node and its predecessors?
5. We can calculate the entries in the full joint probability distribution by using the?
6. Which of the following offers by the Bayesian network?
7. Local structure is related to which of the following?
8. Local structure is related to which of the following?
9. The compactness of the bayesian network is related to?
10. Bayes rule can be used in?