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ML
> Linear Models > Flashcards
Linear Models Flashcards
(4 cards)
Study These 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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ML
flashcards
Decks in class (11)
# Cards
Formal Model
11
Uniform Convergence
6
Bias Complexity
3
VC-Dimension
4
Linear Models
4
Model selection and validation
5
Regularization
4
Feature Selection
4
SVM
7
Neural Network
12
Clustering
4