https://www.coursera.org/learn/machine-learning/exam/7pytE/linear-regression-with-multiple-variables 1。 Suppose m=4 students have taken some ...
Question Consider the problem of predicting how well a student does in her second year of college university, given how well they did in their first year. Specifically, let x be equal to the number of ...
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https://www.coursera.org/learn/machine-learning/exam/7pytE/linear-regression-with-multiple-variables 1。 Suppose m=4 students have taken some ...
to compute the cost of linear regression[*] gradientDes ...
Question 1 Consider the problem of predicting how well a student does in her second year of college ...
https://www.coursera.org/learn/machine-learning/exam/dbM1J/octave-matlab-tutorial Octave Tutorial 5 試題 1. Suppose I first execute ...
Lecture2 Linear regression with one variable 單變量線性回歸 2.1 模型表示 Model Representation 2.1.1 線性回歸 Linear regression 2.1.2 單變量線性回歸 Linear ...
1. The Problem of Overfitting 1 還是來看預測房價的這個例子,我們先對該數據做線性回歸,也就是左邊第一張圖。 如果這么做,我們可以獲得擬合數據的這樣一條直線,但 ...
線性回歸是機器學習中最基礎的算法,掌握了線性回歸算法,有利於以后更容易地理解其它復雜的算法。 線性回歸看似簡單,但是其中包含了線性代數,微積分,概率等諸多方面的知識。讓我們先從最簡單的形式開始。 一元線性回歸(Simple Linear Regression): 假設只有一個 ...
1. 模型表達(Model Representation) 我們的第一個學習算法是線性回歸算法,讓我們通過一個例子來開始。這個例子用來預測住房價格,我們使用一個數據集,該數據集包含俄勒岡州波特蘭市的 ...