Media Summary: A couple of years ago, a client asked me to build a Metaprogramming. It's awesome, right? Powerful? Maybe a little scary? Let's kick things up a notch. If writing code that writes code ... Eddie Galindo is an engineering lead at Ascend, and Kagen Hearn is a senior software engineer there, working on a Rails app ...

Ruby Midwest 2011 Recommendation Engines - Detailed Analysis & Overview

A couple of years ago, a client asked me to build a Metaprogramming. It's awesome, right? Powerful? Maybe a little scary? Let's kick things up a notch. If writing code that writes code ... Eddie Galindo is an engineering lead at Ascend, and Kagen Hearn is a senior software engineer there, working on a Rails app ... Solving a technical problem is relatively easy: there tends to be precedence, easily accessible data, black and white results, and a ... Download the virtual assistant guide to learn more → Learn more about AI solutions ... PyData London 2016 As Data Scientists, we often assume we have data! It's crazy not to. What should you recommend to a new ...

You are happily writing new code for your system when all of a sudden the code is not behaving the way you thought it should.

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Ruby Midwest 2011 - Recommendation Engines using  Machine Learning, and JRuby
Ruby Conf 2013 - Recommendation Engines with Redis and Ruby by Evan Light
Ruby Midwest 2013 The Most Important Optimization: Happiness by Ernie Miller
Eddie Galindo & Kagen Hearn: Rate Limiting For Your Customers
Ruby Midwest 2013 Must Have 10+ Years People Experience by Ashe Dryden
DIY recommendation engine
What is an AI Recommendation Engine?
Ruby Childs & Nick Sorros - Making Recommendations without Data
Ruby Midwest 2013 Make Testing Fun with Test Reporters by Matt Sears
Mastering the ruby debugger by Jim Weirich
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Ruby Midwest 2011 - Recommendation Engines using  Machine Learning, and JRuby

Ruby Midwest 2011 - Recommendation Engines using Machine Learning, and JRuby

Recommendation Engines

Ruby Conf 2013 - Recommendation Engines with Redis and Ruby by Evan Light

Ruby Conf 2013 - Recommendation Engines with Redis and Ruby by Evan Light

A couple of years ago, a client asked me to build a

Ruby Midwest 2013 The Most Important Optimization: Happiness by Ernie Miller

Ruby Midwest 2013 The Most Important Optimization: Happiness by Ernie Miller

Metaprogramming. It's awesome, right? Powerful? Maybe a little scary? Let's kick things up a notch. If writing code that writes code ...

Eddie Galindo & Kagen Hearn: Rate Limiting For Your Customers

Eddie Galindo & Kagen Hearn: Rate Limiting For Your Customers

Eddie Galindo is an engineering lead at Ascend, and Kagen Hearn is a senior software engineer there, working on a Rails app ...

Ruby Midwest 2013 Must Have 10+ Years People Experience by Ashe Dryden

Ruby Midwest 2013 Must Have 10+ Years People Experience by Ashe Dryden

Solving a technical problem is relatively easy: there tends to be precedence, easily accessible data, black and white results, and a ...

DIY recommendation engine

DIY recommendation engine

Build your own

What is an AI Recommendation Engine?

What is an AI Recommendation Engine?

Download the virtual assistant guide to learn more → https://ibm.biz/BdaqZr Learn more about AI solutions ...

Ruby Childs & Nick Sorros - Making Recommendations without Data

Ruby Childs & Nick Sorros - Making Recommendations without Data

PyData London 2016 As Data Scientists, we often assume we have data! It's crazy not to. What should you recommend to a new ...

Ruby Midwest 2013 Make Testing Fun with Test Reporters by Matt Sears

Ruby Midwest 2013 Make Testing Fun with Test Reporters by Matt Sears

Slow tests got you down? As

Mastering the ruby debugger by Jim Weirich

Mastering the ruby debugger by Jim Weirich

You are happily writing new code for your system when all of a sudden the code is not behaving the way you thought it should.