吴恩达MachineLearning Week2

1.多元线性回归(Multivariate Linear Regression) 1.1 多特征(Multiple Features) 1.2 多变量梯度下降(Gradient Descent for Multiple Variables) 1.3 梯度下降实践1-特征值缩放(Gradient Descent in Practice I – Feature Scaling) 1.4 梯度下降实践2-学习速率(Gradient Descent in Practice II – Learning Rate) 1.5 特征和多项式回归(Features and Polynomial Regr