chap3 Linear Models for Regression笔记
1.关于curve fitting的几种方法 问题:给定 N 个样本数据点及其对应的函数值，找出该函数 minimize the sum of squares of error: 假设函数的形式是 y(x,w)，其中 w 是该函数的待估计参数，x 则是 input variable;该方法认为，该函数应该使得平方误差之和最小化: MLE:假设每个观察到的样本数据点的函数值的 t 是一个以真实的函数
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相关文章
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