# NBML Course

From Noisebridge

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***[[Machine_Learning/NBML/Machine Learning/Bias-variance Tradeoff|Bias-Variance Tradeoff]] | ***[[Machine_Learning/NBML/Machine Learning/Bias-variance Tradeoff|Bias-Variance Tradeoff]] | ||

− | ==== | + | ==== Linear Regression ==== |

− | *Linear Regression | + | *[[Machine_Learning/NBML/Linear Regression|Linear Regression]] |

− | **Least Squares Formulation | + | **[[Machine_Learning/NBML/Linear Regression/Least Squares|Least Squares Formulation]] |

− | **Maximum | + | **[[Machine_Learning/NBML/Linear Regression/Maximum Likelihood| Maximum Likelihood Formulation]] |

− | **Regularization | + | **[[Machine_Learning/NBML/Linear Regression/Regularization|Regularization]] |

− | ***Ridge Regression (L2) | + | ***[[Machine_Learning/NBML/Linear Regression/Ridge|Ridge Regression (L2)]] |

− | ***Lasso Regression (L1) | + | ***[[Machine_Learning/NBML/Linear Regression/Lasso|Lasso Regression (L1)]] |

− | ***Least-angle/Elastic Net Regression | + | ***[[Machine_Learning/NBML/Linear Regression/LARS|Least-angle/Elastic Net Regression]] |

− | **Bayesian Linear Regression | + | **[[Machine_Learning/NBML/Linear Regression/Bayesian|Bayesian Linear Regression]] |

==== Block 3: Linear Classification (non-SVM) ==== | ==== Block 3: Linear Classification (non-SVM) ==== |

## Revision as of 00:52, 6 January 2011

## Contents |

## Noisebridge Machine Learning Course

We're trying to come up with a hands-on curriculum for teaching Machine Learning at Noisebridge. Please help out in any way you can, such as:

- Volunteer to teach a course in one of the subjects below
- Fill in one of the subjects below with links to learning material and related software
- Show up to classes and asking questions
- Join the ML Mailing List and talk about stuff
- Don't talk shit on mathematics, it wants to be your friend.

### Online Machine Learning Courses

### Curriculum

#### Block 1: Basic Math and Machine Learning

#### Linear Regression

#### Block 3: Linear Classification (non-SVM)

- Linear Classification
- Binary vs. Multi-class
- One-versus-the-rest, one-versus-one

- Discriminant Functions

- Binary vs. Multi-class