Consequences of an Insightful Algorithm

Machine Learning

talk by Matthew Mongeau: Is it Food? An Introduction to Machine Learning

Is it Food? An Introduction to Machine Learning

Matthew Mongeau

RailsConf 2017

talk by Ju Liu: Predicting Titanic Survivors with Machine Learning

Predicting Titanic Survivors with Machine Learning

Ju Liu

RailsConf 2017

talk by Aja Hammerly: Syntax Isn't Everything: NLP for Rubyists

Syntax Isn't Everything: NLP for Rubyists

Aja Hammerly

RailsConf 2017

talk by Mariusz Gil: Machine Learning For The Rescue

Machine Learning For The Rescue

Mariusz Gil

wroclove.rb 2017

talk by Jeffrey Cohen: Computer Science: The Good Parts

Computer Science: The Good Parts

Jeffrey Cohen

RubyConf 2016

talk by Sean Marcia: Ruby, Red Pandas, and You

Ruby, Red Pandas, and You

Sean Marcia

RubyConf 2016

talk by Eric Weinstein: Dōmo Arigatō, Mr. Roboto: Machine Learning with Ruby

Dōmo Arigatō, Mr. Roboto: Machine Learning with Ruby

Eric Weinstein

RubyConf 2016

talk by Carina C. Zona: Consequences of an Insightful Algorithm

Consequences of an Insightful Algorithm

Carina C. Zona

EuRuKo 2016

talk by Kenta Murata: SciRuby Machine Learning Current Status and Future

SciRuby Machine Learning Current Status and Future

Kenta Murata

RubyKaigi 2016

talk by Aja Hammerly: Exploring Big Data with rubygems.org Download Data

Exploring Big Data with rubygems.org Download Data

Aja Hammerly

GORUCO 2016

talk by Max Hawkins: Robot on Rails

Robot on Rails

Max Hawkins

Rails Pacific 2016

talk by Miles Woodroffe: Going Global on Rails: Lessons Learned Taking Japan's Biggest Recipe Site International

Going Global on Rails: Lessons Learned Taking Japan's Biggest Recipe Site International

Miles Woodroffe

Rails Pacific 2016