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Bayesian Learning QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

What is the main advantage of using variational inference over MCMC methods in Bayesian learning?

Question: 2

In the context of Bayesian learning, what is "epistemic uncertainty"?

Question: 3

What is the main disadvantage of using Gaussian Processes in Bayesian learning?

Question: 4

Which of the following is a popular Bayesian optimization algorithm?

Question: 5

In the context of Bayesian learning, what is an "active learning" strategy?

Question: 6

What is the main advantage of Bayesian optimization?

Question: 7

What is the purpose of the Reversible Jump MCMC (RJ-MCMC) method in Bayesian learning?

Question: 8

Which of the following is an advantage of using Gaussian Processes in Bayesian learning?

Question: 9

What is a Gaussian Process in the context of Bayesian learning?

Question: 10

What is the purpose of using the Laplace approximation in Bayesian learning?

Question: 11

In Bayesian learning, what is the "maximum a posteriori" (MAP) estimate?

Question: 12

What is the main disadvantage of using Bayesian methods for online learning?

Question: 13

What is the purpose of the Dirichlet Process in Bayesian learning?

Question: 14

Bayesian network, what does the "Markov blanket" of a variable represent?

Question: 15

Which of the following is a popular variational inference method in Bayesian learning?

Question: 16

In the context of Bayesian learning, what is the "marginal likelihood"?

Question: 17

What is the main difference between Bayesian and Maximum Likelihood Estimation (MLE)?

Question: 18

In Bayesian learning, what is "model averaging"?

Question: 19

Which of the following is a popular MCMC sampling method in Bayesian learning?

Question: 20

What is the primary purpose of Markov Chain Monte Carlo (MCMC) methods in Bayesian learning?

Question: 21

What is a Bayesian network?

Question: 22

In the context of Bayesian learning, what is "evidence"?

Question: 23

What is the purpose of the Bayesian Information Criterion (BIC)?

Question: 24

In the context of Bayesian learning, what is a "conjugate prior"?

Question: 25

What is the main disadvantage of Bayesian learning compared to frequentist learning?

Question: 26

What is the primary principle of Bayesian learning?

Question: 27

What is the main advantage of Bayesian learning over frequentist learning?

Question: 28

In Bayesian learning, what is the "posterior probability"?

Question: 29

In Bayesian learning, what is the "prior probability"?

Question: 30

Which theorem is the foundation of Bayesian learning?