文件名称:machine-learning-ex1
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- 上传时间：2017-09-03
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文件大小：497kb
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介绍说明－－下载内容来自于网络，使用问题请自行百度
在这个练习中，您将实现线性回归，并看到它在数据上工作。在开始这个编程练习之前，我们强烈建议观看视频讲座，并完成相关主题的复习题。开始锻炼，你将需要下载的启动代码，解压其内容目录到你希望完成练习。如果需要的话，在开始练习之前，使用八度/ matlab中的cd命令改变这个目录。你也可以?ND指示在“环境设置说明”的课程网站安装倍频/ MATLAB。(In this exercise, you will implement linear regression and get to see it work on data. Before starting on this programming exercise, we strongly recommend watching the video lectures and completing the review questions for the associated topics. 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.)
相关搜索： machine learning
(系统自动生成,下载前可以参看下载内容)
下载文件列表
machine-learning-ex1\machine-learning-ex1
machine-learning-ex1\machine-learning-ex1\ex1.pdf
machine-learning-ex1\machine-learning-ex1\ex1
machine-learning-ex1\machine-learning-ex1\ex1\computeCost.asv
machine-learning-ex1\machine-learning-ex1\ex1\computeCost.m
machine-learning-ex1\machine-learning-ex1\ex1\computeCostMulti.m
machine-learning-ex1\machine-learning-ex1\ex1\ex1.m
machine-learning-ex1\machine-learning-ex1\ex1\ex1_multi.m
machine-learning-ex1\machine-learning-ex1\ex1\ex1data1.txt
machine-learning-ex1\machine-learning-ex1\ex1\ex1data2.txt
machine-learning-ex1\machine-learning-ex1\ex1\featureNormalize.m
machine-learning-ex1\machine-learning-ex1\ex1\gradientDescent.asv
machine-learning-ex1\machine-learning-ex1\ex1\gradientDescent.m
machine-learning-ex1\machine-learning-ex1\ex1\gradientDescentMulti.m
machine-learning-ex1\machine-learning-ex1\ex1\lib
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\AUTHORS.txt
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\ChangeLog.txt
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\jsonopt.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\LICENSE_BSD.txt
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\loadjson.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\loadubjson.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\mergestruct.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\README.txt
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\savejson.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\saveubjson.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\varargin2struct.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\makeValidFieldName.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\submitWithConfiguration.m
machine-learning-ex1\machine-learning-ex1\ex1\normalEqn.m
machine-learning-ex1\machine-learning-ex1\ex1\plotData.m
machine-learning-ex1\machine-learning-ex1\ex1\submit.m
machine-learning-ex1\machine-learning-ex1\ex1\warmUpExercise.m
machine-learning-ex1\machine-learning-ex1\ex1.pdf
machine-learning-ex1\machine-learning-ex1\ex1
machine-learning-ex1\machine-learning-ex1\ex1\computeCost.asv
machine-learning-ex1\machine-learning-ex1\ex1\computeCost.m
machine-learning-ex1\machine-learning-ex1\ex1\computeCostMulti.m
machine-learning-ex1\machine-learning-ex1\ex1\ex1.m
machine-learning-ex1\machine-learning-ex1\ex1\ex1_multi.m
machine-learning-ex1\machine-learning-ex1\ex1\ex1data1.txt
machine-learning-ex1\machine-learning-ex1\ex1\ex1data2.txt
machine-learning-ex1\machine-learning-ex1\ex1\featureNormalize.m
machine-learning-ex1\machine-learning-ex1\ex1\gradientDescent.asv
machine-learning-ex1\machine-learning-ex1\ex1\gradientDescent.m
machine-learning-ex1\machine-learning-ex1\ex1\gradientDescentMulti.m
machine-learning-ex1\machine-learning-ex1\ex1\lib
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\AUTHORS.txt
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\ChangeLog.txt
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\jsonopt.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\LICENSE_BSD.txt
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\loadjson.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\loadubjson.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\mergestruct.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\README.txt
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\savejson.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\saveubjson.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\jsonlab\varargin2struct.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\makeValidFieldName.m
machine-learning-ex1\machine-learning-ex1\ex1\lib\submitWithConfiguration.m
machine-learning-ex1\machine-learning-ex1\ex1\normalEqn.m
machine-learning-ex1\machine-learning-ex1\ex1\plotData.m
machine-learning-ex1\machine-learning-ex1\ex1\submit.m
machine-learning-ex1\machine-learning-ex1\ex1\warmUpExercise.m
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