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Machine Learning
36:53
Ruby Us Hagrid: Writing Harry Potter With Ruby
Alex Peattie
Pivorak Conf 2.0
28:27
The Atonement of J. Robert Oppenheimer
Caleb Thompson
RubyConf 2018
40:32
Being Good: An Introduction to Robo- and Machine Ethics
Eric Weinstein
RubyConf 2018
30:07
Ruby-us Hagrid: Writing Harry Potter with Ruby
Alex Peattie
RubyConf 2018
26:47
GraphQL-DDD on Rails Architecture
Paul-Armand Assus
Paris.rb Conf 2018
28:32
Food, Wine and Machine Learning: Teaching a Bot to Taste
Mai Nguyen
Paris.rb Conf 2018
🇯🇵
Japanese
40:27
Deep Learning Programming on Ruby
Kenta Murata
,
Yusaku Hatanaka
RubyKaigi 2018
32:52
Machine Learning Explained to Humans (Part 1)
Paolo "Nusco" Perrotta
RubyConf AU 2018
22:55
Machine Learning Explained to Humans Part 2
Paolo "Nusco" Perrotta
RubyConf AU 2018
31:48
Rubyik's Cube
Stafford Brunk
RubyConf 2017
35:38
Finding Responsibility
Caleb Thompson
RubyConf 2017
41:46
Augmenting Human Decision Making with Data Science
Kelsey Pedersen
RubyConf 2017
38:30
Data-driven production apps
Sai Warang
EuRuKo 2017
35:55
Introducing Tensorflow Ruby API
Arafat Khan
EuRuKo 2017
39:58
Food, Wine and Machine Learning: Teaching a Bot to Taste
Mai Nguyen
RubyKaigi 2017
37:31
Do Androids Dream of Electronic Dance Music?
Julian Cheal
,
Eric Weinstein
RubyKaigi 2017
33:26
Syntax Isn't Everything: NLP for Rubyists
Aja Hammerly
RailsConf 2017
41:31
Bayes is BAE
Richard Schneeman
RailsConf 2017
35:15
Is it Food? An Introduction to Machine Learning
Matthew Mongeau
RailsConf 2017
39:03
Predicting Titanic Survivors with Machine Learning
Ju Liu
RailsConf 2017
50:43
Machine Learning For The Rescue
Mariusz Gil
wroclove.rb 2017
29:30
Ruby, Red Pandas, and You
Sean Marcia
RubyConf 2016
30:25
Computer Science: The Good Parts
Jeffrey Cohen
RubyConf 2016
41:48
Dōmo Arigatō, Mr. Roboto: Machine Learning with Ruby
Eric Weinstein
RubyConf 2016
48:58
Consequences of an Insightful Algorithm
Carina C. Zona
EuRuKo 2016
🇯🇵
Japanese
54:58
SciRuby Machine Learning Current Status and Future
Kenta Murata
RubyKaigi 2016
24:11
Exploring Big Data with rubygems.org Download Data
Aja Hammerly
GORUCO 2016
30:46
Robot on Rails
Max Hawkins
Rails Pacific 2016
17:27
Going Global on Rails: Lessons Learned Taking Japan's Biggest Recipe Site International
Miles Woodroffe
Rails Pacific 2016
23:09
Postcards from GorbyPuff
Aja Hammerly
RailsConf 2016
35:51
In the Name of Whiskey
Julia Ferraioli
Ruby on Ales 2016
52:07
The R language
Barbara Fusińska
wroclove.rb 2016
51:38
ROS - ecosystem for things
Wojciech Ziniewicz
wroclove.rb 2016
42:55
Keynote: Consequences of an Insightful Algorithm
Carina C. Zona
RubyConf 2015
45:48
Beating Go Thanks To The Power Of Randomness
Tobias Pfeiffer
RubyConf 2015
12:19
Un-Artificial Intelligence
Melinda Seckington
GORUCO 2015
29:28
A New Kind of Analytics: Actionable Performance Analysis
Paola Moretto
RailsConf 2015
29:28
A New Kind of Analytics: Actionable Performance Analysis
Paola Moretto
RailsConf 2015
31:57
Learning Statistics Will Save Your Life
John Paul Ashenfelter
MountainWest RubyConf 2015
28:07
Machine Learning for Fun and Profit
John Paul Ashenfelter
Rocky Mountain Ruby 2014
01:17:04
Workshop: Machine Learning For Fun and Profit
John Paul Ahenfelter
RailsConf 2014
26:50
Five Machine Learning Techniques That You Can Use In Your Ruby Apps Today
Benjamin Curtis
MountainWest RubyConf 2014
29:06
Test Driven Neural Networks with Ruby
Matthew Kirk
MountainWest RubyConf 2014
28:50
A Magical Gathering
Aaron Patterson
MountainWest RubyConf 2014
47:40
Decade of Regression
Randall Thomas
Ruby on Ales 2014
40:50
The Future of Computer Vision: How Two Rubyists Are Changing The World
Jonan Scheffler
,
Aaron Patterson
Ruby on Ales 2014
28:20
Neural Networks with RubyFANN
Ethan Garofolo
LoneStarRuby Conf 2013
38:54
Natural Language Processing with Ruby
Brandon Black
RailsConf 2013
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