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2 changes: 1 addition & 1 deletion machine-learning/linear-regression.md
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Expand Up @@ -213,7 +213,7 @@ Repeat {
介绍更多的问题描述符号：
* _n_：特征的数量
* _x<sup>(i)</sup>_：第i个训练样本。如果样本用矩阵表示，那它对应就是矩阵的第 _i_ 行，也是一个向量。比如 _x<sup>(2)</sup> = [1416; 3; 2; 40; 232]_。
* _x<sub>j</sub><sup>(i)</sup>_：训练样本中的第 _i_ 个hang本中的第 _j_ 个特征，也就是矩阵里的 _i_ 行的 _j_ 列。
* _x<sub>j</sub><sup>(i)</sup>_：训练样本中的第 _i_ 个样本中的第 _j_ 个特征，也就是矩阵里的 _i_ 行的 _j_ 列。

多变量的假设 $h$ 表示为：

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