# Practice Problems

**Please let us know if you find any errors or have any suggestions**.

## Midterm 01

Practice problems for topics on Midterm 01.

See Sample Midterm 01 for an example midterm from a previous quarter. This is a good way to get a sense of the format of the exam. However, note that the topics covered may change slightly from quarter to quarter, and so the sample exam may not be a perfect match for the topics covered in this quarter.

See all problems in this set, or choose a tag below to view only those problems.

## Midterm 02

Practice problems for topics on Midterm 02.

See all problems in this set, or choose a tag below to view only those problems.

## All Tags

All problem types.

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- Gaussians
- SVMs
- bayes classifier
- bayes error
- computing loss
- conditional independence
- convexity
- covariance
- density estimation
- empirical risk minimization
- feature maps
- gradient descent
- gradients
- histogram estimators
- kernel ridge regression
- least squares
- linear and quadratic discriminant analysis
- linear prediction functions
- linear regression
- maximum likelihood
- maxium likelihood
- naive bayes
- nearest neighbor
- object type
- perceptrons
- regularization
- subgradients