Table of contents
- Table of contents
- Introduction
- Author
- GitHub
- Linear model with 1 dimensional input
- Input data: Age
- Target data: Height
- Data generation
- Linear model definition
- Gradient method
- Learning Result
- Point to notice
- Plane model with 2 dimensional input
- Data generation
- Plane model
- D-dimensional Linear Regression Model
- Solution of model
- Extension to plane not passing through origin
- Linear basis function
- Overfitting problem
- Hold-out validation
- Cross-validation
- K-hold cross-validation
- Leave-one-out cross-validation
- Validation result
- Model improvement
- Correct tendency
- New model
- Optimization
- Model selection
- Model A
- Model B
- Comparison result
- Conclusion
Introduction
This is my studying log about machine learning, regression. I referred to a following book.
Pythonで動かして学ぶ!あたらしい機械学習の教科書 第2版
- 作者: 伊藤真
- 出版社/メーカー: 翔泳社
- 発売日: 2019/07/18
- メディア: 単行本
- この商品を含むブログを見る
I extracted some important points and some related sample python codes and wrote them as memo in this article.
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