Linear Models Flashcards

1
Q
  • Definition of Class of Linear (affine) functions and equivalent notation.
  • Definition of linear model hyphothesis class.
A

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2
Q

Linear regression:

  • What is, hypothesis class, loss function and empirical risk.
  • What is least squares?
  • How to find the solution of the ERM problem? What if the matrix is not invertible?
  • How can we use linear regression with polinomial models?
A

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3
Q

Logistic regression:

  • What is? For what is used for?
  • What is its hypothesis class?
  • What are the differences with halfspaces?
  • What is the loss function?
  • What is the ERM problem? how can be solved?
A

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4
Q

Halfspaces:

  • Definition of halfspace. When it is used?
  • When data are linearly separable?
  • Perceptron for halfspaces. When the algorithms stops?
A

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