Machine Learning experiment1 Linear Regression 詳解+源代碼實現
線性迴歸 迴歸模型以下：python 其中θ是咱們須要優化的參數，x是n+1維的特徵向量，給定一個訓練集，咱們的目標是找出θ的最佳值，使得目標函數J（θ）最小化：算法 優化方法之一是梯度降低算法。算法迭代執行，並在每次迭代中，咱們更新θ遵循如下準則函數 其中α是學習率，經過梯度降低的方式，使得損失函數最小，求得最合適的θ值。學習 2D線性迴歸 題目是一個測量身高的例子，對象基於兩歲到八
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