机器学习错题集

最新推荐文章于 2022-01-03 21:16:00 发布

mydyeah

最新推荐文章于 2022-01-03 21:16:00 发布

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分类专栏：机器学习文章标签：机器学习

本文链接：https://blog.youkuaiyun.com/mydyeah/article/details/79357515

本文探讨了在机器学习中使用多项式回归预测学生期末成绩时，如何进行特征归一化，包括feature scaling和mean normalization。通过一个实例展示了归一化过程，并解释了归一化的作用，包括加速梯度下降和防止矩阵XTX不可逆。同时，澄清了归一化与防止正常方程陷入局部最优解无关的误解。

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Week 2

1. Suppose m=4 students have taken some class, and the class had a midterm exam and a final exam. You have collected a dataset of their scores on the two exams, which is as follows:

midterm exam	(midterm exam)2	final exam
89	7921	96
72	5184	74
94	8836	87
69	4761	78

You'd like to use polynomial regression to predict a student's final exam score from their midterm exam score. Concretely, suppose you want to fit a model of the form h