Machine Learning

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(Notes from Meetings)
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* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML
 
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML
 
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.
 
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.
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=== Possible topics ===
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It would be nice to have a cache of topics we might want to discuss at future meetings; this is a placeholder to keep track of them.  If you'd like to present on a Wednesday, but aren't sure what to do it on, consider researching one of these topics and presenting that.
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* No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]
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* Bias and Variance [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part2.pdf]
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* Resampling for Estimation [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]
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* Bagging and Boosting [http://www.cedar.buffalo.edu/~srihari/CSE555/Boosting.pdf]
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* Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]
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* Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]
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* Entropy in the information-theoretic sense
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* A basic decision tree builder, recursive and using entropy metrics
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* Metric spaces and what they mean
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* Fundamentals of probabilities
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* Naive Bayes classification
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Please add things here as you think of them, with or without supporting documentation.
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=== Possible Projects ===
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* Gesture recognition using a Wiimote

Revision as of 17:38, 23 May 2009

This is a placeholder landing page for Machine Learning related projects and topics at noisebridge.

We have weekly meetings, every Wednesday at 8PM, at 83c.

Contents

Notes from Meetings

(We've fallen off the notes bandwagon, sorry.)

Machine Learning Meetup Notes: 2009-04-01 -- Finally moving on up: fully-connected backpropagation networks.

Machine Learning Meetup Notes: 2009-03-25 -- We made perceptrons - added sigmoid, etc.

Machine Learning Meetup Notes: 2009-03-18 -- We made perceptrons - linear function support!

Machine Learning Meetup Notes: 2009-03-11 -- We made perceptrons!

Machine Learning Meetup Notes: 2009-03-04 -- Josh gave a presentation on SVMs

(time is missing!)

Machine Learning Meetup Notes: 2009-02-11 -- Josh gave a presentation on clustering, donuts!

Machine Learning Meetup Notes: 2009-02-04 -- Free-form hang out night, punch and pie

Machine Learning Meetup Notes: 2009-01-28 -- Praveen talked about Neural networks

Machine Learning Meetup Notes: 2008-01-21 -- Jean gave a quick overview of machine learning stuff

Machine Learning Meetup Notes: 2009-01-14 -- Ian gave a talk on k-Nearest Neighbor

Machine Learning Meetup Notes: 2009-01-07 -- Josh did a quick intro to ML presentation

Machine Learning Meetup Notes: 2008-12-17

Presentations and other Materials


Possible topics

It would be nice to have a cache of topics we might want to discuss at future meetings; this is a placeholder to keep track of them. If you'd like to present on a Wednesday, but aren't sure what to do it on, consider researching one of these topics and presenting that.

  • No-Free Lunch Theorem [1]
  • Bias and Variance [2]
  • Resampling for Estimation [3]
  • Bagging and Boosting [4]
  • Estimation of Misclassification [5]
  • Classifier Combination [6]
  • Entropy in the information-theoretic sense
  • A basic decision tree builder, recursive and using entropy metrics
  • Metric spaces and what they mean
  • Fundamentals of probabilities
  • Naive Bayes classification

Please add things here as you think of them, with or without supporting documentation.

Possible Projects

  • Gesture recognition using a Wiimote
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