- Stanford Unsupervised Deep Learning Tutorial (2014)
- Bayesian ranking of items with up and downvotes or 5 star ratings
- Using Ruby Machine Learning to Find Paris Hilton Quotes
- A Very Short Ruby-based Markov Model Explained
- A Beginner’s Guide to Eigenvectors, Covariance, PCA and Entropy
- Oxford University Machine Learning Course
- Ruby Natural Language Processing Resources
- Using Machine Learning To Expose Haters.
- Machine Learning Course by Tom Mitchell (read comments for more material & advise)
- Deep Learning Reading List (jmozah.github.io)
- The Open Source Data Science Masters: Curriculum for Data Science
- List of ML resources in Russian
- Tutorial: Practical Data Science in Python (Spam Detection using text ML)
- Data Science from Scratch
- TFLearn Examples
- A Neural Network in 11 lines of Python (Part 1)
- How to implement a neural network: Part 1
- Neural Networks Demystified (lumiverse.io)
- Hacker's guide to Neural Networks
- Simple Neural Network implementation in Ruby
- CS231n Convolutional Neural Networks for Visual Recognition
- Why are deep neural networks hard to train? + Discussion
- Deep learning – Convolutional neural networks and feature extraction with Python
- Tinker With a Neural Network Right Here in Your Browser.