NBML Course

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(The Fundamentals: Basic Math)
(Clustering and Dimensional Reduction)
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*[[Machine_Learning/NBML/Clustering/PCA|Principle Component Analysis]]
*[[Machine_Learning/NBML/Clustering/PCA|Principle Component Analysis]]
*[[Machine_Learning/NBML/Clustering/ICA|Independent Component Analysis]]
*[[Machine_Learning/NBML/Clustering/ICA|Independent Component Analysis]]
*[[Machine_Learning/NBML/Clustering/Dimensional Reduction for Visualization|Dimensional Reduction for Visualization]]
**[[Machine_Learning/NBML/Clustering/Dimensional Reduction for Visualization/Self Organizing Map (algebraic perspective) | Self Organizing Map (algebraic perspective)]]
**[[Machine_Learning/NBML/Clustering/Dimensional Reduction for Visualization/Supervised Methods and Refinement (LVQ)|Supervised Methods and Refinement (LVQ)]]
*[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text |Clustering Techniques for Text]]
**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Spherical K-Means |Spherical K-Means]]
**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Word Sense Disambiguation (Sense Clusters)|Word Sense Disambiguation (Sense Clusters)]]
**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Latent Semantic Indexing (LSI)|Latent Semantic Indexing (LSI)]]
***[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Latent Semantic Indexing (LSI)/Keyword Relatedness Clustering (Semantic Engine)|Keyword Relatedness Clustering (Semantic Engine)]]
==== [[Machine_Learning/NBML/Graphical Models|Graphical Models]] ====
==== [[Machine_Learning/NBML/Graphical Models|Graphical Models]] ====

Revision as of 20:56, 13 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:

  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 ask 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


Machine Learning

Linear Regression

Linear Classification

Generalized Linear Models

Support Vector Machines

Neural Networks

Clustering and Dimensional Reduction

Graphical Models

Hidden Markov Models

The Fundamentals: Basic Math

Note: it's not essential to understand everything in this section! But the more you learn, the more things will make sense. Wikipedia is your friend.

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