Machine Learning

- [ ] What is classification? Supervised learning.
- [ ] Algorithm for classification: K-nearest neighbor
- [ ] Other libraries for classification: Weka-for-Processing (I'll make something based on Rebecca's work with Wekinator?)
- [ ] show same example as k-nearest neighbor with library.
- [ ] need a more interesting, creative application?
- [ ] Neural networks: what are they?
- [ ] perceptron + supervised learning
- [ ] MLN and XOR: back propagation?
- [ ] Move to a library (deeplearning4j?)
- [ ] digit or shape recognition?
- [ ] other example scenarios?
- [ ] Reinforcement learning
- [ ] steering agents (mouse + cheese?)
- [ ] learn to play flappy bird?
- [ ] wekinator

No source files or tests are named. Start by reviewing the checklist of classification, neural-network, reinforcement-learning, Wekinator, and library examples; define which topics and example scenarios are in scope, then consider the work done when the selected educational material and examples are completed.

Scritto dal modello di indicizzazione a partire dal testo della issue.