1function J =computeCostMulti(X, y, theta)2%COMPUTECOSTMULTI Compute costforlinear regression with multiple variables3% J = COMPUTECOSTMULTI(X, y, theta) computes the cost ofusingthetaasthe4% parameterforlinear regression to fit the data pointsinX and y56%Initialize some useful values7m = len...
测试数据及源码下载:http://pan.baidu.com/s/1mgiIVm4 OneVariable.java 1packageOneVariableVersion;23importjava.io.IOException;4importjava.util.List;567/**8* Linear Regression with One Variable9*@authorXBW10* @date 2014年8月17日11*/1213publicclassOneVariable{14publicstaticfinalDouble e=0.00001;15...
简介:吴恩达机器学习ex1 Linear Regression (python) Linear regression with one variable 1.题目描述 In this part of this exercise, you will implement linear regression with one variable to predict profits for a food truck. Suppose you are the CEO of a restaurant franchise and are considering differe...
In this part of this exercise, you will implement linear regression with one variable to predict profits for a food truck. Suppose you are the CEO of a restaurant franchise and are considering different cities for opening a new outlet. The chain already has trucks in various cities and you h...
ex1data1.txt- Dataset for linear regression with one variable ex1data2.txt- Dataset for linear regression with multiple variables submit.m- Submission script that sends your solutions to our servers [?]warmUpExercise.m- Simple example function in Octave/MATLAB ...
Linear regression with multiple variables(多特征的线型回归)算法实例_梯度下降解法(Gradient DesentMulti)以及正规方程解法(Normal Equation),%第一列为sizeofHouse(feet^2),第二列为numberofbedroom,第三列为priceofHouse12104,3,39990021600,3,32990032400,3,3690004
我们的目标和单变量线性回归问题中一样,是要找出使得代价函数最小的一系列参数。多变量线性回归的批量梯度下降算法为: 求导数后得到: (3)向量化计算 向量化计算可以加快计算速度,怎么转化为向量化计算呢? 在多变量情况下,损失函数可以写为: 对theta求导后得到: ...
Francis Galton introduced the concept of regression, studying the relationship between the heights of parents and children, which led to the phenomenon where children's heights tend to deviate from their parents' heights, converging towards the average height of the population. This ...
linear regression single vari dataset.csv(1.38 kB) get_app chevron_right DetailCompactColumn 2 of 2 columnskeyboard_arrow_down grid_3x3Populationsortgrid_3x3Profitsort Your browser does not support charts× 5.03 22.2 Your browser does not support charts× -2.68 24.1 6.110117.5925.52779.13028.518613....
Regression problems usually have one continuous and unbounded dependent variable. The inputs, however, can be continuous, discrete, or even categorical data such as gender, nationality, or brand. It’s a common practice to denote the outputs with 𝑦 and the inputs with 𝑥. If there are ...