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Questions and Answers
Which probability in Bayes Rule represents the likelihood of seeing some particular labels associated with input points, given a world where some hypothesis h is true?
Which probability in Bayes Rule represents the likelihood of seeing some particular labels associated with input points, given a world where some hypothesis h is true?
- Pr(D | h) (correct)
- Pr(h)
- Pr(h | D)
- Pr(D)
According to Bayes Rule, what does Pr(h | D) represent?
According to Bayes Rule, what does Pr(h | D) represent?
- The likelihood of the data under all hypotheses (A normalizing term)
- The probability of data given the hypothesis
- The probability of a specific hypothesis given input data (Posterior probability) (correct)
- The prior probability of a particular hypothesis
What does Pr(D) represent in Bayes Rule?
What does Pr(D) represent in Bayes Rule?
- The probability of data given the hypothesis
- The prior probability of a particular hypothesis
- The probability of a specific hypothesis given input data (Posterior probability)
- The likelihood of the data under all hypotheses (A normalizing term) (correct)
What does Pr(h) represent in Bayes Rule?
What does Pr(h) represent in Bayes Rule?
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What is the goal of Bayesian learning?
What is the goal of Bayesian learning?
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