3116001336(1)

所属分类其他
开发工具:matlab
文件大小:77KB
下载次数:0
上传日期:2019-06-12 15:57:12
上 传 者刘homeand
说明:  使用一个变量实现线性回归,以预测餐馆的利润。 使用梯度下降法,假设 h (x) 由线性模型给出 ,定义代价函数为 。线性回归的目标就是要最小化这个代价函数。
(To get started with the exercise, you will need to download the starter code and unzip its contents to the directory where you wish to complete the exercise. If needed, use the cd command in Octave/MATLAB to change to this directory before starting this exercise.)

文件列表:[举报垃圾]
3116001336\3116001336.doc, 86062 , 2019-03-18
3116001336\ex1\computeCost.m, 669 , 2019-03-12
3116001336\ex1\computeCostMulti.m, 671 , 2013-11-08
3116001336\ex1\ex1.m, 3616 , 2019-03-19
3116001336\ex1\ex1data1.txt, 1359 , 2013-11-08
3116001336\ex1\ex1data2.txt, 657 , 2013-11-08
3116001336\ex1\ex1_multi.m, 4460 , 2013-11-08
3116001336\ex1\featureNormalize.m, 1249 , 2013-11-08
3116001336\ex1\gradientDescent.m, 1050 , 2019-03-18
3116001336\ex1\gradientDescentMulti.m, 933 , 2013-11-08
3116001336\ex1\lib\jsonlab\AUTHORS.txt, 1624 , 2015-02-27
3116001336\ex1\lib\jsonlab\ChangeLog.txt, 3862 , 2015-02-27
3116001336\ex1\lib\jsonlab\jsonopt.m, 881 , 2015-02-27
3116001336\ex1\lib\jsonlab\LICENSE_BSD.txt, 1551 , 2015-02-27
3116001336\ex1\lib\jsonlab\loadjson.m, 18732 , 2015-02-27
3116001336\ex1\lib\jsonlab\loadubjson.m, 15574 , 2015-02-27
3116001336\ex1\lib\jsonlab\mergestruct.m, 771 , 2015-02-27
3116001336\ex1\lib\jsonlab\README.txt, 19369 , 2015-02-27
3116001336\ex1\lib\jsonlab\savejson.m, 17462 , 2015-02-27
3116001336\ex1\lib\jsonlab\saveubjson.m, 16123 , 2015-02-27
3116001336\ex1\lib\jsonlab\varargin2struct.m, 1094 , 2015-02-27
3116001336\ex1\lib\makeValidFieldName.m, 1195 , 2015-02-27
3116001336\ex1\lib\submitWithConfiguration.m, 3734 , 2015-04-03
3116001336\ex1\normalEqn.m, 645 , 2013-11-08
3116001336\ex1\plotData.m, 997 , 2019-03-12
3116001336\ex1\submit.m, 1876 , 2015-04-25
3116001336\ex1\warmUpExercise.m, 515 , 2019-03-12
3116001336\ex1\lib\jsonlab, 0 , 2015-02-20
3116001336\ex1\lib, 0 , 2015-04-03
3116001336\ex1, 0 , 2015-04-28
3116001336, 0 , 2019-03-26

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