文件名称:Machine-Learning-exercises_finished
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-08-13
- 文件大小：
- 28.05mb
- 下载次数：
- 0次
- 提 供 者：
- ke***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
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andrew NG上的课程machine learning 的习题解答，这些习题对于机器学习入门还是非常有帮助的，值得学习。-This my answer to the programming exercises of Machine Learning by Andrew NG,this files are very useful to the people who want to study with 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 exercises_finished by Andrew Ng Stanford(合集)\ex1_003(Week2)_finished\ex1\computeCost.asv
...............................................................\.......................\...\computeCost.m
...............................................................\.......................\...\computeCostMulti.m
...............................................................\.......................\...\ex1.asv
...............................................................\.......................\...\ex1.m
...............................................................\.......................\...\ex1data1.txt
...............................................................\.......................\...\ex1data2.txt
...............................................................\.......................\...\ex1_multi.asv
...............................................................\.......................\...\ex1_multi.m
...............................................................\.......................\...\featureNormalize.asv
...............................................................\.......................\...\featureNormalize.m
...............................................................\.......................\...\gradientDescent.asv
...............................................................\.......................\...\gradientDescent.m
...............................................................\.......................\...\gradientDescentMulti.m
...............................................................\.......................\...\ml_login_data.mat
...............................................................\.......................\...\normalEqn.m
...............................................................\.......................\...\octave-core
...............................................................\.......................\...\plotData.m
...............................................................\.......................\...\submit.m
...............................................................\.......................\...\submitWeb.m
...............................................................\.......................\...\warmUpExercise.m
...............................................................\.......................\ex1.pdf
...............................................................\..2-003(Week3)_finished\ex2.pdf
...............................................................\.......................\mlclass-ex2\costFunction.m
...............................................................\.......................\...........\costFunctionReg.asv
...............................................................\.......................\...........\costFunctionReg.m
...............................................................\.......................\...........\ex2.m
...............................................................\.......................\...........\ex2data1.txt
...............................................................\.......................\...........\ex2data2.txt
...............................................................\.......................\...........\ex2_reg.m
...............................................................\.......................\...........\mapFeature.m
...............................................................\.......................\...........\ml_login_data.mat
...............................................................\.......................\...........\octave-core
...............................................................\.......................\...........\plotData.m
...............................................................\.......................\...........\plotDecisionBoundary.m
...............................................................\.......................\...........\predict.m
...............................................................\.......................\...........\sigmoid.m
...............................................................\.....