machine learning week7 作业解答
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2015-04-19
21:08:22
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收藏 901KB RAR 举报 
mlclass-ex6-008.rar （60个子文件） 
mlclass-ex6-008 mlclass-ex6-008 
ex6.pdf 375KB
.DS_Store 6KB mlclass-ex6 visualizeBoundary.m 734B
spamSample2.txt 245B svmTrain.m 6KB gaussianKernel.m 717B emailFeatures.m 2KB getVocabList.m 761B ex6_spam.m 5KB submit.m 16KB submitWeb.m 827B readFile.m 396B vocab.txt 20KB ex6data1.mat 981B ex6data2.mat 7KB dataset3Params.m 2KB emailSample2.txt 1KB svmPredict.m 2KB ex6.m 4KB ex6data3.mat 6KB linearKernel.m 323B processEmail.m 4KB plotData.m 569B spamTest.mat 110KB emailSample1.txt 393B visualizeBoundaryLinear.m 410B porterStemmer.m 10KB spamTrain.mat 419KB spamSample1.txt 655B __MACOSX ._mlclass-ex6-008 222B mlclass-ex6-008 ._mlclass-ex6 222B ._.DS_Store 222B ._ex6.pdf 222B mlclass-ex6 ._spamTest.mat 222B ._spamTrain.mat 222B ._ex6.m 222B ._getVocabList.m 222B ._svmTrain.m 222B ._svmPredict.m 222B ._ex6data2.mat 222B ._submit.m 273B ._ex6data3.mat 222B ._linearKernel.m 222B ._emailSample1.txt 222B ._readFile.m 222B ._porterStemmer.m 222B ._plotData.m 222B ._vocab.txt 222B ._dataset3Params.m 222B ._ex6_spam.m 222B ._spamSample2.txt 222B ._emailSample2.txt 222B ._emailFeatures.m 222B ._spamSample1.txt 222B ._gaussianKernel.m 222B ._ex6data1.mat 222B ._visualizeBoundaryLinear.m 222B ._submitWeb.m 222B ._processEmail.m 222B ._visualizeBoundary.m 222B资源评论
keeqee2015-05-25跟今年的公开课作业稍微有一点不一样，大家运行出错不要着急，稍微改一点就好了。
qqppo042015-11-25棒！是很好的学习参考- ivtqwq2016-10-18有注释，非常好理解，多谢。
