@@ -84,78 +84,40 @@ for Ruby.
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[ video] ( https://ftp.fau.de/fosdem/2017/K.4.201/ruby_scientific_computing_on_jruby.mp4 ) |
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[ slides] ( https://www.slideshare.net/PrasunAnand2/scientific-computing-on-jruby ) |
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[ slides] ( https://www.slideshare.net/PrasunAnand2/scientific-computation-on-jruby )] </sup >
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- - _ Unicode Normalization in Ruby_ by [ Starr Horne] ( https://twitter.com/starrhorne )
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- <sup >[[ post] ( http://blog.honeybadger.io/ruby_unicode_normalization/ )] </sup >
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- 2016
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- _ Practical Machine Learning with Ruby_ by [ Jordan Hudgens] ( https://twitter.com/jordanhudgens )
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<sup >[[ tutorial] ( https://www.crondose.com/2016/12/practical-machine-learning-ruby/ )] </sup >
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- - _ Quickly Create a Telegram Bot in Ruby_ by [ Ardian Haxha] ( https://twitter.com/ArdianHaxha )
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- <sup >[[ tutorial] ( https://www.sitepoint.com/quickly-create-a-telegram-bot-in-ruby/ )] </sup >
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- _ Deep Learning: An Introduction for Ruby Developers_ by [ Geoffrey Litt] ( https://twitter.com/geoffreylitt )
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<sup >[[ slides] ( https://speakerdeck.com/geoffreylitt/deep-learning-an-introduction-for-ruby-developers )] </sup >
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- _ How I made a pure-Ruby word2vec program more than 3x faster_ by [ Kei Sawada] ( https://twitter.com/remore )
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<sup >[[ slides] ( https://speakerdeck.com/remore/how-i-made-a-pure-ruby-word2vec-program-more-than-3x-faster )] </sup >
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- _ Dōmo arigatō, Mr. Roboto: Machine Learning with Ruby_ by [ Eric Weinstein] ( https://twitter.com/ericqweinstein )
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<sup >[[ slides] ( https://speakerdeck.com/ericqweinstein/domo-arigato-mr-roboto-machine-learning-with-ruby ) | [ video] ( https://www.youtube.com/watch?v=T1nFQ49TyeA )] </sup >
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- 2015
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- - _ N-gram Analysis for Fun and Profit_ by [ Jesus Castello] ( https://github.com/matugm )
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- <sup >[[ tutorial] ( http://www.blackbytes.info/2015/09/ngram-analysis-ruby/ )] </sup >
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- _ Machine Learning made simple with Ruby_ by [ Lorenzo Masini] ( https://github.com/rugginoso )
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<sup >[[ tutorial] ( https://www.leanpanda.com/blog/2015/08/24/machine-learning-automatic-classification/ )] </sup >
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- _ Using Ruby Machine Learning to Find Paris Hilton Quotes_ by [ Rick Carlino] ( https://github.com/RickCarlino )
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<sup >[[ tutorial] ( https://web-beta.archive.org/web/20160515115739/http://datamelon.io/blog/2015/using-ruby-machine-learning-id-paris-hilton-quotes.html )] </sup >
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- - _ Exploring Natural Language Processing in Ruby_ by [ Kevin Dias] ( https://github.com/diasks2 )
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- <sup >[[ slides] ( https://www.slideshare.net/diasks2/exploring-natural-language-processing-in-ruby )] </sup >
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- _ Machine Learning made simple with Ruby_ by [ Lorenzo Masini] ( https://twitter.com/rugginoso )
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<sup >[[ post] ( https://www.leanpanda.com/blog/2015/08/24/machine-learning-automatic-classification/ )] </sup >
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- - _ Practical Data Science in Ruby_ by Bobby Grayson
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- <sup >[[ slides] ( http://slides.com/bobbygrayson/p#/ )] </sup >
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- 2014
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- - _ Natural Language Parsing with Ruby_ by [ Glauco Custódio] ( https://github.com/glaucocustodio )
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- <sup >[[ tutorial] ( http://glaucocustodio.github.io/2014/11/10/natural-language-parsing-with-ruby/ )] </sup >
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- - _ Demystifying Data Science: Analyzing Conference Talks with Rails and Ngrams_ by
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- [ Todd Schneider] ( https://github.com/toddwschneider )
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- <sup >[[ video] ( https://www.youtube.com/watch?v=2ZDCxwB29Bg ) | [ code] ( https://github.com/Genius/abstractogram )] </sup >
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- - _ Natural Language Processing with Ruby_ by [ Konstantin Tennhard] ( https://github.com/t6d )
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- <sup >[[ video] ( https://www.youtube.com/watch?v=5u86qVh8r0M ) | [ video] ( https://www.youtube.com/watch?v=oFmy_QBQ5DU ) |
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- [ video] ( https://www.youtube.com/watch?v=sPkeeWnsMn0 ) |
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- [ slides] ( http://euruko2013.org/speakers/presentations/natural_language_processing_with_ruby_and_opennlp-tennhard.pdf )] </sup >
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- 2013
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- - _ How to parse 'go' - Natural Language Processing in Ruby_ by
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- [ Tom Cartwright] ( https://twitter.com/tomcartwrightuk )
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- <sup >[[ slides] ( https://www.slideshare.net/TomCartwright/natual-language-processing-in-ruby ) |
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- [ video] ( https://skillsmatter.com/skillscasts/4883-how-to-parse-go )] </sup >
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- - _ Natural Language Processing in Ruby_ by [ Brandon Black] ( https://github.com/brandonblack )
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- <sup >[[ slides] ( https://speakerdeck.com/brandonblack/natural-language-processing-in-ruby ) |
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- [ video] ( http://confreaks.tv/videos/railsconf2013-natural-language-processing-with-ruby )] </sup >
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- - _ Natural Language Processing with Ruby: n-grams_ by [ Nathan Kleyn] ( https://github.com/nathankleyn )
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- <sup >[[ tutorial] ( https://www.sitepoint.com/natural-language-processing-ruby-n-grams/ ) |
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- [ code] ( https://github.com/nathankleyn/ruby_nlp )] </sup >
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- - _ Seeking Lovecraft, Part 1: An introduction to NLP and the Treat Gem_ by
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- [ Robert Qualls] ( https://github.com/rlqualls )
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- <sup >[[ tutorial] ( https://www.sitepoint.com/seeking-lovecraft-part-1-an-introduction-to-nlp-and-the-treat-gem/ )] </sup >
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- 2012
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- _ Machine Learning with Ruby, Part One_ by [ Vasily Vasinov] ( https://twitter.com/vasinov )
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<sup >[[ tutorial] ( http://www.vasinov.com/blog/machine-learning-with-ruby-part-one/ )] </sup >
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- 2011
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- - _ Ruby one-liners_ by [ Benoit Hamelin] ( https://twitter.com/benoithamelin )
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- <sup >[[ post] ( http://benoithamelin.tumblr.com/ruby1line )] </sup >
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- _ Clustering in Ruby_ by [ Colin Drake] ( https://twitter.com/colinfdrake )
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<sup >[[ post] ( https://colindrake.me/2011/05/28/clustering-in-ruby/ )] </sup >
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- 2010
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- _ bayes_motel – Bayesian classification for Ruby_ by [ Mike Perham] ( https://twitter.com/mperham )
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<sup >[[ post] ( http://www.mikeperham.com/2010/04/28/bayes_motel-bayesian-classification-for-ruby/ )] </sup >
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- 2009
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- - _ Porting the UEA-Lite Stemmer to Ruby_ by [ Jason Adams] ( https://twitter.com/ealdent )
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- <sup >[[ post] ( https://ealdent.wordpress.com/2009/07/16/porting-the-uea-lite-stemmer-to-ruby/ )] </sup >
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- - _ NLP Resources for Ruby_ by [ Jason Adams] ( https://twitter.com/ealdent )
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- <sup >[[ post] ( https://ealdent.wordpress.com/2009/09/13/nlp-resources-for-ruby/ )] </sup >
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- 2008
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- _ Support Vector Machines (SVM) in Ruby_ by [ Ilya Grigorik] ( https://twitter.com/igrigorik )
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<sup >[[ post] ( https://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/ )] </sup >
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- - _ Practical text classification with Ruby_ by [ Gleicon Moraes] ( https://twitter.com/gleicon )
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- <sup >[[ post] ( https://zenmachine.wordpress.com/practical-text-classification-with-ruby/ ) |
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- [ code] ( https://github.com/gleicon/zenmachine )] </sup >
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- 2007
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- _ Decision Tree Learning in Ruby_ by [ Ilya Grigorik] ( https://twitter.com/igrigorik )
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<sup >[[ post] ( https://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/ )] </sup >
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