NBML Course

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**[[Machine_Learning/NBML/Machine Learning/Data|The data]]
 
**[[Machine_Learning/NBML/Machine Learning/Data|The data]]
 
**[[Machine_Learning/NBML/Machine Learning/Model|The model]]
 
**[[Machine_Learning/NBML/Machine Learning/Model|The model]]
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***[[Machine_Learning/NBML/Machine Learning/Model/Discriminative vs Generative|Discriminative vs Generative Models]]
 
**[[Machine_Learning/NBML/Machine Learning/Learning|Unsupervised vs. Supervised Learning]]
 
**[[Machine_Learning/NBML/Machine Learning/Learning|Unsupervised vs. Supervised Learning]]
 
**[[Machine_Learning/NBML/Machine Learning/Training|Training a Model]]
 
**[[Machine_Learning/NBML/Machine Learning/Training|Training a Model]]
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**[[Machine_Learning/NBML/Linear Regression/Bayesian|Bayesian Linear Regression]]
 
**[[Machine_Learning/NBML/Linear Regression/Bayesian|Bayesian Linear Regression]]
  
==== Block 3: Linear Classification (non-SVM) ====
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==== Linear Classification (non-SVM) ====
*Linear Classification
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*[[Machine_Learning/NBML/Linear Classification|Linear Classification]]
**Binary vs. Multi-class
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**[[Machine_Learning/NBML/Linear Classification/Fishers Discriminant|Fisher's Linear Discriminant]]
***One-versus-the-rest, one-versus-one
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**[[Machine_Learning/NBML/Linear Classification/Logistic|Logistic Regression]]
**Discriminant Functions
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Revision as of 01:07, 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:

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

Online Machine Learning Courses

Curriculum

The Fundamentals: Basic Math and Machine Learning Theory

Linear Regression

Linear Classification (non-SVM)

Personal tools