# Machine Learning

(→Notes from Meetings) |
|||

Line 37: | Line 37: | ||

* [[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. | ||

+ | |||

+ | |||

+ | |||

+ | === 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 [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf] | ||

+ | * Bias and Variance [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part2.pdf] | ||

+ | * Resampling for Estimation [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf] | ||

+ | * Bagging and Boosting [http://www.cedar.buffalo.edu/~srihari/CSE555/Boosting.pdf] | ||

+ | * Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf] | ||

+ | * Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf] | ||

+ | |||

+ | * 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 |

## 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

- Awesome Machine Learning Applications -- A list of cool applications of ML
- Hands-on Machine Learning, a presentation jbm gave on 2009-01-07.

### 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