A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City. One of the random variables is discrete, and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes. Which prior probability distribution should the ML Specialist use for this variable?
A) Poisson distribution
B) Uniform distribution
C) Normal distribution
D) Binomial distribution

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The Answer of A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City. One of the random variables is discrete, and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes. Which prior probability distribution should the ML Specialist use for this variable?
A) Poisson distribution
B) Uniform distribution
C) Normal distribution
D) Binomial distribution

A Machine Learning Specialist Is Implementing a Full Bayesian Network