https://github.com/mindreframer/machine-learning-stuff

https://github.com/mindreframer/machine-learning-stuff

Last synced: 9 months ago
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• Host: GitHub
• URL: https://github.com/mindreframer/machine-learning-stuff
• Owner: mindreframer
• Created: 2013-08-06T15:29:10.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2014-05-05T22:16:38.000Z (almost 12 years ago)
• Last Synced: 2025-05-17T05:38:28.269Z (11 months ago)
• Language: Ruby
• Size: 258 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

Awesome Lists containing this project

README

          
## Machine Learning

## A Library for Support Vector Machines

- http://www.csie.ntu.edu.tw/~cjlin/libsvm/

## Courses

  - [A Course in Machine Learning, by Hal Daumé III](http://ciml.info/)

## Videos

  - [Practical Machine Learning and Rails by Andrew Cantino and Ryan Stout](http://www.youtube.com/watch?v=vy_zQ1-F0JI)

  - [Machine Learning (Part 1) - Ariel Kleiner, 02.09.2012](http://www.youtube.com/watch?v=77i31ojEFJk)

  - [Machine Learning (Part 2) - Tamara Broderick](http://www.youtube.com/watch?v=4baKKLtFK04)

## Data Mining

  - [Data Mining and Analysis: Fundamental Concepts and Algorithms](http://www.dcc.ufmg.br/miningalgorithms/files/pdf/dmafca.pdf), [Page](http://www.dcc.ufmg.br/livros/miningalgorithms/DokuWiki/doku.php?id=pdf)

## Case Studies

  - [Naive Bayes Case Study Craigslist Apartment Hunting](http://www.uvm.edu/~ejeldrid/resources/332.pdf)

  - [Sentiment Analysis in Ruby](http://srug.pl/assets/mateusz-drozdzynski-sentiment-analysis-in-ruby.pdf)

## Algorithms:

  Naive Bayes

  - https://www.bionicspirit.com/blog/2012/02/09/howto-build-naive-bayes-classifier.html

  - http://blog.oasic.net/2012/06/naive-bayes-for-ruby.html

  - http://mathish.com/2011/05/26/bayes-classifying.html

## Books:

  - [Probabilistic Programming & Bayesian Methods for Hackers](http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/)

  - [The LIONbook on machine learning and optimization](http://www.lionsolver.com/LIONbook/), [PDF](http://www.lionsolver.com/static/lionbook.pdf)

## Statistics:

  - [Bayesian statistics made (as) simple (as possible)](http://www.youtube.com/watch?v=bobeo5kFz1g)

    *** GENERATED BY https://github.com/mindreframer/techwatcher (ruby _sh/pull machine-learning-stuff) *** 

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