二.机器学习 多变量线性回归

1. Multiple Variables
2. Gradient Descent For Multiple Variables
3. Gradient Descent in Practice I - Feature Scaling

特征缩放和均值归一化
通过特征缩放和均值归一化可以将梯度下降的速度变得更快,让梯度下降收敛所需的循环更少。
Two techniques to help with this are feature scaling and mean normalization

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