Mastering Bayesian Learning
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Mastering Bayesian Learning

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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?

  • Pr(D | h) (correct)
  • Pr(h)
  • Pr(h | D)
  • Pr(D)

    • 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?

  • 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?

    <p>The prior probability of a particular hypothesis</p> Signup and view all the answers

    What is the goal of Bayesian learning?

    <p>To find the hypothesis with the highest probability</p> Signup and view all the answers

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