Entries from 2016-02-01 to 1 month
線性迴歸模型:$h_\theta(x) = \theta * x$ 參數$\theta = (\theta_0, \theta_2, ..., \theta_n)$ Cost Function爲:$J(\theta) = \frac{1}{2} \sum_i \left( h_\theta(x^{(i)}) - y^{(i)} \right)2$ m爲訓練集的大小,解線性迴歸模型即就是求出最小的Cost F…
線性迴歸模型:$h_\theta(x) = \theta * x$ 參數$\theta = (\theta_0, \theta_2, ..., \theta_n)$ Cost Function爲:$J(\theta) = \frac{1}{2} \sum_i \left( h_\theta(x^{(i)}) - y^{(i)} \right)2$ m爲訓練集的大小,解線性迴歸模型即就是求出最小的Cost F…