Linear Models Flashcards
1
Q
- Definition of Class of Linear (affine) functions and equivalent notation.
- Definition of linear model hyphothesis class.
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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?
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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?
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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?
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