機械学習分科会 for TSG2014 winter 詳細はWikiへ.
- Pythonの環境構築
- 線形代数の基礎知識
- 機械学習の基礎知識
- Naive Bayes
- Perceptron
- SVM
- Decision Tree/Random Forest
- Pythonの環境構築
- Python処理系(2.7がbetter)
- Anaconda(numpy, scipy, matplotlib, scikit-learn)
- 機械学習の基礎知識
- iris classification
- Naive Bayes
- text classification
- Logistic Regression
- Perceptron
- SVM
- numeric classification
- Decision Tree
- Adaboost
- Random Forest