Rubyconf 2017 Using Ruby In Data Science By Kenta Murata

Rubyconf 2017 Using Ruby In Data Science By Kenta Murata Information Guide

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Main Features

[JA] Development of Data Science Ecosystem for Ruby / Kenta Murata @mrkn News

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Latest News

Information D28. Panel Discussion: Topic - Scientific Computing in Ruby Guide

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RubyConf 2017: Compiling Ruby by Kevin Deisz

[JA] Deep Learning Programming on Ruby / Kenta Murata @mrkn, Yusaku Hatanaka @hatappi

[JA] SciRuby Machine Learning Current Status and Future / Kenta Murata

RubyConf 2017: How to load 1m lines of Ruby in 5s by Andrew Metcalf

RubyConf 2017: There are no rules in Ruby by Max Jacobson

RubyConf 2017: Types and Ruby Programming Language by Soutaro Matsumoto

RubyConf 2017: High Performance GPU Computing with Ruby by Prasun Anand

RubyConf 2017: Lightning Talks

RubyConf TH 2019 - Data Science in Ruby Is it possible Is it Fast ... by Rodrigo Urubatan

RubyConf 2022: Discover Machine Learning in Ruby by Justin Bowen

RubyConf AU 2017 - Actors in Ruby! Why let Elixir have all the fun, by Marcos Matos

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Last Updated: September 28, 2026

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Information RubyConf 2017: Augmenting Human Decision Making with Data Science by Kelsey Pedersen Update

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Summary

Using Ruby in data science by Kenta Murata Augmenting Human Decision Making We will present you how to program deep learning models rubykaigi.org/2016/presentations/mrkn.html How do we do machine-learning things by Lightning Talks 0:00:40:03 - Michael Hartl 0:01:25:27 - Jonathan Slate 0:02:47:07 - Kyle Heironimus 0:04:45:25 - Yechiel ... A talk from RubyConfTH, held in Bangkok, Thailand on September 6-7, 2019 In this talk we'll review the state of the tools for

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