NBML Course

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*[[Machine_Learning/NBML/Neural Networks/Hopfield|Hopfield Nets/Autoassociators]]
 
*[[Machine_Learning/NBML/Neural Networks/Hopfield|Hopfield Nets/Autoassociators]]
 
*[[Machine_Learning/NBML/Neural Networks/Recurrent|Recurrent Nets/Boltzmann Machines]]
 
*[[Machine_Learning/NBML/Neural Networks/Recurrent|Recurrent Nets/Boltzmann Machines]]
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*[[Machine_Learning/NBML/Neural Networks/Deep Belief|Deep Belief Nets]]
  
 
==== [[Machine_Learning/NBML/Clustering|Clustering and Dimensional Reduction]] ====
 
==== [[Machine_Learning/NBML/Clustering|Clustering and Dimensional Reduction]] ====

Revision as of 01:42, 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 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

Curriculum

The Fundamentals: Basic Math and Machine Learning Theory

Linear Regression

Linear Classification

Generalized Linear Models

Support Vector Machines

Neural Networks

Clustering and Dimensional Reduction

Graphical Models

Hidden Markov Models

Personal tools