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

ソースファイルやテストは指定されていません。まず、分類、ニューラルネットワーク、強化学習、Wekinator、ライブラリの例に関するチェックリストを確認し、どのトピックと例のシナリオを対象範囲に含めるかを定義してから、選択した教材と例が完成した時点で作業完了とします。

索引モデルが issue の本文から書いたものです。