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MountainWest RubyConf 2014 - Affordance in Programming Languages by Randy Coulman
Rocky Mountain Ruby 2014 - Machine Learning for Fun and Profit by John Paul Ashenfelter
MountainWest RubyConf 2014 - Introduction to CRuby source code by Andy Pliszka
MountainWest RubyConf 2014 - The Timeless Way of Building by John Athayde
Lars Hard: Applying Machine Learning to Search
MountainWest RubyConf 2014 - A Magical Gathering by Aaron Patterson
A Hands on Introduction to Applied Scientific Machine Learning Chris Rackauckas JuliaEO26
MountainWest RubyConf 2014 - New Ruby 2.1 Awesomeness: Pro Object Allocation Tracing
(HD) RubyConf PH and Training for a Cause details - Christopher Rigor and Rad Batnag
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Last Updated: October 19, 2026
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Summary
Five machine learning techniques Neural networks are an excellent way of mapping past observations to a functional model. Many researchers have been able to ... By, Kerri Miller There's more to being a successful developer than simply being great at programming. The gotchas that slow us ... By Eileen Uchitelle The magic of ActiveRecord database interactions is easy to rely on and allows us assume it knows best. A good design communicates the intended use of an object. In the physical world, this communication is accomplished by ... Your Rails app is full of data that can (and should!) be turned into useful information with some simple Understanding of CRuby source code has profound effects on every Ruby developer. In my talk, I will show you how to build Ruby ... "Design patterns" is a common phrase that is often spoken in the course of design and development of web applications. But it's ... Let's roll up our sleeves, and learn about Ruby and OpenCV. Let there be coding. Let there be Chris Rackauckas explores where scientists fit in the age of rapidly advancing AI, arguing that the future is not about replacing ... By Sam Rawlins Ruby 2.1 is coming out soon with an amazing new feature under ObjectSpace: Philippine Ruby Users Group January
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