chap3 Linear Models for Regression筆記
1.關於curve fitting的幾種方法 問題:給定 N 個樣本數據點及其對應的函數值，找出該函數 minimize the sum of squares of error: 假設函數的形式是 y(x,w)，其中 w 是該函數的待估計參數，x 則是 input variable;該方法認爲，該函數應該使得平方誤差之和最小化: MLE:假設每個觀察到的樣本數據點的函數值的 t 是一個以真實的函數
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相關文章
- 1. Linear Models for Classification
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