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MLS-C01 · Question #16
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…
The correct answer is A. Poisson distribution. The Poisson distribution is used to model the number of events occurring within a given time
Modeling
Question
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?
Options
- APoisson distribution
- BUniform distribution
- CNormal distribution
- DBinomial distribution
How the community answered
(50 responses)- A80% (40)
- B6% (3)
- C12% (6)
- D2% (1)
Explanation
The Poisson distribution is used to model the number of events occurring within a given time
Topics
#Probability Distributions#Bayesian Networks#Discrete Variables#Poisson Distribution
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