Podcast
Play an AI-generated podcast conversation about this lesson
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?
Signup and view all the answers
What is the goal of Bayesian learning?
What is the goal of Bayesian learning?
Signup and view all the answers
