Supervised Learning Paradigm
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Questions and Answers

What is the model assumption for supervised learning presented in the text?

  • $Y = f(X)ε$
  • $Y = f(X)+ε$ (correct)
  • $Y = f(X)-ε$
  • $Y = f(X)/ε$

    • What does the learning algorithm modify in response to differences between original and generated outputs?

  • Error term
  • Input/output relationship (correct)
  • Training set
  • Model parameters

    • What is assembled to form a training set in supervised learning?

  • Observations of inputs and outputs (correct)
  • Learning algorithm
  • Model parameters
  • Error terms

    • What is the hope upon completion of the learning process in supervised learning?

    <p>Artificial and real outputs will be close enough to be useful for practical inputs</p> Signup and view all the answers

    What does supervised learning attempt to learn by example through?

    <p>A teacher</p> Signup and view all the answers

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