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[RubyNLP | RubyDataScience | RubyInterop]

Awesome Machine Learning with Ruby

Curated List of Ruby Machine Learning Links and Resources

Machine Learning is a field of Computational Science - often nested under AI research - with many practical applications due to the ability of resulting algorithms to systematically implement a specific solution without explicit programmer's instructions. Obviously many algorithms need a definition of features to look at or a biggish training set of data to derive the solution from.

This curated list comprises awesome libraries, data sources, tutorials and presentations about Machine Learning utilizing the Ruby programming language.

A lot of useful resources on this list come from the development by The Ruby Science Foundation, our contributors and our own day to day work on various ML applications.

✨ Every contribution is welcome! Add links through pull requests or create an issue to start a discussion.

Follow us on Twitter and please spread the word using the #RubyML hash tag!

Contents

• ✨ Tutorials
• Machine Learning Libraries
  • Frameworks
  • Neural networks
  • Deep Learning
  • Kernel methods
  • Evolutionary algorithms
  • Bayesian methods
  • Decision trees
  • Clustering
  • Linear classifiers
  • Statistical models
  • Gradient boosting
• Applications of machine learning
• Data structures
• Data visualization
• Articles, Posts, Talks, and Presentations
• Projects and Code Examples
• Heroku buildpacks
• Books, Blogs, Channels
• Community
• Related Resources
• License

✨ Tutorials

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