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https://locusxt.github.io/2018/03/08/%E6%AD%A3%E5%88%99%E5%8C%96.html
过拟合解决方案 减少特征数量 正则化regularization。保留所有特征,减小特征的权重正则化线性回归正则化$min_\theta \dfrac{1}{2m} [\sum_{i=1}^m (h_\theta(x^{(i)}) - y^{(i)})^2 + \lambda \sum_{j=1}^n \t...
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https://locusxt.github.io/2018/03/08/%E6%AD%A3%E5%88%99%E5%8C%96.html
过拟合解决方案 减少特征数量 正则化regularization。保留所有特征,减小特征的权重正则化线性回归正则化$min_\theta \dfrac{1}{2m} [\sum_{i=1}^m (h_\theta(x^{(i)}) - y^{(i)})^2 + \lambda \sum_{j=1}^n \t...
The text was updated successfully, but these errors were encountered: