Difference between revisions of "Machine Learning"

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(Next Meeting)
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*When: Wednesday, 7/21/2010 @ 9:00-10:00pm
 
*When: Wednesday, 7/21/2010 @ 9:00-10:00pm
 
*Where: 2169 Mission St. (back corner classroom)
 
*Where: 2169 Mission St. (back corner classroom)
*Topic: [http://www.r-project.org/ R]
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*Topic: Data classification in [http://www.r-project.org/ R]
*Presenter:  
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*Details: We will discuss/code Linear Regression, K-Nearest Neighbor and Bayes classifiers and classify handwritten digits dataset.
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*Presenter: Erin
  
 
=== Mailing List ===
 
=== Mailing List ===

Revision as of 03:42, 21 July 2010

Next Meeting

  • When: Wednesday, 7/21/2010 @ 9:00-10:00pm
  • Where: 2169 Mission St. (back corner classroom)
  • Topic: Data classification in R
  • Details: We will discuss/code Linear Regression, K-Nearest Neighbor and Bayes classifiers and classify handwritten digits dataset.
  • Presenter: Erin

Mailing List

https://www.noisebridge.net/mailman/listinfo/ml

Projects

Tools

Next Projected Topics

  • Starting out in R (Thomas, Erin)
  • Boosting and Bagging (Thomas)

Topics to Learn and Teach

  • Supervised Learning
    • Linear Regression
    • Linear Discriminants
    • Neural Nets/Radial Basis Functions
    • Support Vector Machines
    • Classifier Combination [1]
    • A basic decision tree builder, recursive and using entropy metrics
  • Unsupervised Learning
    • Clustering: PCA, k-Means, Expectation-Maximization
    • Graphical Modeling
    • Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes
  • Reinforcement Learning
    • Temporal Difference Learning
  • Math, Probability & Statistics
    • Metric spaces and what they mean
    • Fundamentals of probabilities
    • Decision Theory (Bayesian)
    • Maximum Likelihood
    • Bias/Variance Tradeoff, VC Dimension
    • Bagging, Bootstrap, Jacknife [2]
    • Information Theory: Entropy, Mutual Information, Gaussian Channels
    • Estimation of Misclassification [3]
    • No-Free Lunch Theorem [4]
  • Machine Learning SDK's
    • OpenCV ML component (SVM, trees, etc)
    • Mahout a Hadoop cluster based ML package.
    • Weka a collection of data mining tools and machine learning algorithms.
  • Applications
    • Collective Intelligence & Recommendation Engines

Presentations and other Materials

Notes from Meetings

Machine Learning Meetup Notes: 2010-06-30 -- DNA Overview, Kaggle HIV

Machine Learning Meetup Notes: 2010-06-22 -- PIG Tutorial

Machine Learning Meetup Notes: 2010-06-16 -- MOA, Kaggle HIV

Machine Learning Meetup Notes: 2010-06-09 -- KDD Recap, JUNG/Graph Clustering

Machine Learning Meetup Notes: 2010-06-02 -- Final official meeting before KDD submission deadline

Machine Learning Meetup Notes: 2010-05-26 -- Clustering, KDD Data Reduction

Machine Learning Meetup Notes: 2010-05-23 -- Unofficial meetup to nail down KDD cup problem set

Machine Learning Meetup Notes: 2010-05-19 -- Presentation on Hadoop and MapReduce

Machine Learning Meetup Notes: 2010-05-12 -- Group workshop on KDD data set

Machine Learning Meetup Notes: 2010-05-05 -- A Brief Tour of Statistics

Machine Learning Meetup Notes: 2010-04-28 -- SVMs

Machine Learning Meetup Notes: 2010-04-21 -- Linear Regression

Machine Learning Meetup Notes: 2010-04-14 -- (re)Starting new Machine Learning Meetup!

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