NBML Course: Difference between revisions
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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]] | ||
==== | ==== [[Machine_Learning/NBML/Linear Regression|Linear Regression]] ==== | ||
*[[Machine_Learning/NBML/Linear Regression/Least Squares|Least Squares Formulation]] | |||
*[[Machine_Learning/NBML/Linear Regression/Maximum Likelihood| Maximum Likelihood Formulation]] | |||
*[[Machine_Learning/NBML/Linear Regression/Regularization|Regularization]] | |||
**[[Machine_Learning/NBML/Linear Regression/Ridge|Ridge Regression (L2)]] | |||
**[[Machine_Learning/NBML/Linear Regression/Lasso|Lasso Regression (L1)]] | |||
**[[Machine_Learning/NBML/Linear Regression/LARS|Least-angle/Elastic Net Regression]] | |||
*[[Machine_Learning/NBML/Linear Regression/Bayesian|Bayesian Linear Regression]] | |||
==== Linear Classification (non-SVM) ==== | ==== Linear Classification (non-SVM) ==== |
Revision as of 01:15, 6 January 2011
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 ask questions
- Join the ML Mailing List and talk about stuff
- Don't talk shit on mathematics - it wants to be your friend!