NBML Course

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(The Fundamentals: Basic Math)
(The Fundamentals: Basic Math)
 
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==== [[Machine_Learning/NBML/GLM|Generalized Linear Models]] ====
 
==== [[Machine_Learning/NBML/GLM|Generalized Linear Models]] ====
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==== [[Machine_Learning/NBML/GP|Gaussian Process]] ====
  
 
==== [[Machine_Learning/NBML/SVM|Support Vector Machines]] ====
 
==== [[Machine_Learning/NBML/SVM|Support Vector Machines]] ====
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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]]
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*[[Machine_Learning/NBML/Clustering/Dimensional Reduction for Visualization|Dimensional Reduction and Clustering for Visualization]]
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**[[Machine_Learning/NBML/Clustering/Dimensional Reduction for Visualization/Self Organizing Map (algebraic perspective) | Self Organizing Map (algebraic perspective)]]
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**[[Machine_Learning/NBML/Clustering/Dimensional Reduction for Visualization/Supervised Methods and Refinement (LVQ)|Supervised Methods and Refinement (LVQ)]]
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*[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text |Clustering Techniques for Text Collections]]
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**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Spherical K-Means |Spherical K-Means]]
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**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Word Sense Disambiguation (Sense Clusters)|Word Sense Disambiguation (Sense Clusters)]]
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**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Latent Semantic Indexing (LSI)|Latent Semantic Indexing (LSI)]]
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***[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Latent Semantic Indexing (LSI)/Keyword Relatedness Clustering (Semantic Engine)|Keyword Relatedness Clustering (Semantic Engine)]]
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**[[Machine_Learning/NBML/Clustering/Clustering Techniques for Text/Text Clustering with Self Organizing Map (WebSOM)|Text Clustering with Self Organizing Map (WebSOM)]]
  
 
==== [[Machine_Learning/NBML/Graphical Models|Graphical Models]] ====
 
==== [[Machine_Learning/NBML/Graphical Models|Graphical Models]] ====
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==== [[Machine_Learning/NBML/HMM|Hidden Markov Models]] ====
 
==== [[Machine_Learning/NBML/HMM|Hidden Markov Models]] ====
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==== [[ Other Perspectives | Other Perspectives]] ====
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*[[Machine_Learning/Linguistics and The Role of Language | Linguistics and The Role of Language]]
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**[[Machine_Learning/Symbolic Methods and Machine Understanding |Symbolic Methods and Machine Understanding]]
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*[[Machine_Learning/Simulation and Integrated Software Systems |Simulation and Integrated Software Systems]]
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**[[Machine_Learning/Autonomous Agents and Evolutionary (Learning) Algorithms |Autonomous Agents and Evolutionary (Learning) Algorithms]]
  
 
==== The Fundamentals: Basic Math ====
 
==== The Fundamentals: Basic Math ====
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**[[Machine_Learning/NBML/Probability/Information Theory|Information Theory]]
 
**[[Machine_Learning/NBML/Probability/Information Theory|Information Theory]]
 
***[[Machine_Learning/NBML/Probability/Information Theory/Entropy|Entropy]]
 
***[[Machine_Learning/NBML/Probability/Information Theory/Entropy|Entropy]]
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***[[Machine_Learning/NBML/Probability/Information Theory/Relative Entropy|Relative Entropy]]
 
***[[Machine_Learning/NBML/Probability/Information Theory/Mutual Information|Mutual Information]]
 
***[[Machine_Learning/NBML/Probability/Information Theory/Mutual Information|Mutual Information]]
 
*[[Machine_Learning/NBML/Geometry for Computer Vision and Simulated Environments |Geometry for Computer Vision and Simulated Environments]]
 
*[[Machine_Learning/NBML/Geometry for Computer Vision and Simulated Environments |Geometry for Computer Vision and Simulated Environments]]
 
*[[Machine_Learning/NBML/Logic and Set Theory|Logic and Set Theory]]
 
*[[Machine_Learning/NBML/Logic and Set Theory|Logic and Set Theory]]
 
**[[Machine_Learning/NBML/Logic and Set Theory/Fuzzy Logic and Control Theory |Fuzzy Logic and Control Theory]]
 
**[[Machine_Learning/NBML/Logic and Set Theory/Fuzzy Logic and Control Theory |Fuzzy Logic and Control Theory]]

Latest revision as of 19:47, 16 April 2011

Contents

[edit] 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!

[edit] Online Machine Learning Courses

[edit] Curriculum

[edit] Machine Learning

[edit] Linear Regression

[edit] Linear Classification

[edit] Generalized Linear Models

[edit] Gaussian Process

[edit] Support Vector Machines

[edit] Neural Networks

[edit] Clustering and Dimensional Reduction

[edit] Graphical Models

[edit] Hidden Markov Models

[edit] Other Perspectives

[edit] 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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