Data Science in Ruby? Is it possible? Is it Fast? Should we use it?

Machine Learning

talk by Paul-Armand Assus: GraphQL-DDD on Rails Architecture

GraphQL-DDD on Rails Architecture

Paul-Armand Assus

Paris.rb Conf 2018

talk by Kenta Murata, Yusaku Hatanaka: Deep Learning Programming on Ruby

Deep Learning Programming on Ruby

Kenta Murata, Yusaku Hatanaka

RubyKaigi 2018

talk by Paolo "Nusco" Perrotta: Machine Learning Explained to Humans (Part 1)

Machine Learning Explained to Humans (Part 1)

Paolo "Nusco" Perrotta

RubyConf AU 2018

talk by Paolo "Nusco" Perrotta: Machine Learning Explained to Humans Part 2

Machine Learning Explained to Humans Part 2

Paolo "Nusco" Perrotta

RubyConf AU 2018

talk by Caleb Thompson: Finding Responsibility

Finding Responsibility

Caleb Thompson

RubyConf 2017

talk by Kelsey Pedersen: Augmenting Human Decision Making with Data Science

Augmenting Human Decision Making with Data Science

Kelsey Pedersen

RubyConf 2017

talk by Stafford Brunk: Rubyik's Cube

Rubyik's Cube

Stafford Brunk

RubyConf 2017

talk by Sai Warang: Data-driven production apps

Data-driven production apps

Sai Warang

EuRuKo 2017

talk by Arafat Khan: Introducing Tensorflow Ruby API

Introducing Tensorflow Ruby API

Arafat Khan

EuRuKo 2017

talk by Mai Nguyen: Food, Wine and Machine Learning: Teaching a Bot to Taste

Food, Wine and Machine Learning: Teaching a Bot to Taste

Mai Nguyen

RubyKaigi 2017

talk by Julian Cheal, Eric Weinstein: Do Androids Dream of Electronic Dance Music?

Do Androids Dream of Electronic Dance Music?

Julian Cheal, Eric Weinstein

RubyKaigi 2017

talk by Richard Schneeman: Bayes is BAE

Bayes is BAE

Richard Schneeman

RailsConf 2017