线性回归(Linear Regression)

估值函数(Hypothesis Function):

h_\theta(x) = \theta x

目标函数:

J(\theta) = \frac{1}{m}\sum_{i=1}^{m}Cost(h_\theta(x^{(i)}), y^{(i)})
Cost(h_\theta(x), y) = \frac{1}{2}(h_\theta(x) - y)^2
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