TIoT-machine-learning

This project is implementations of basic machine learning algorithms. All implementations are based on online learning materials provided by Tokyo Institute of Technology.

Contents

• Regression

  • Simple regression (単回帰)
  • Multiple regression (重回帰)
  • Model selection and regularization (モデル選択と正則化)
  • Parameter estimation by gradient method (勾配法によるパラメータ推定)

• Classification

  • Linear binary classification (線形二値分類)
  • Linear multiclass classification (線形多クラス分類)
  • Neural Network (ニューラルネットワーク)
  • Support Vector Machine (サポートベクトルマシン)

• Unsupervised learning

  • Non hierarchical clustring (非階層的クラスタリング)
  • Hierarchical clustering (階層的クラスタリング)
  • Principal component analysis (主成分分析)