coursera-machine-learning-master

所属分类数值算法/人工智能
开发工具:matlab
文件大小:36719KB
下载次数:3
上传日期:2018-05-15 11:00:29
上 传 者MATLAB1
说明:  matlab版机器学习经典算法,适合初学者。
(Matlab version of machine learning classic algorithm, suitable for beginners.)

文件列表
coursera-machine-learning-master, 0 , 2018-05-15
coursera-machine-learning-master\.gitignore, 41 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1, 0 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2, 0 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3, 0 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4, 0 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5, 0 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6, 0 , 2018-05-15
coursera-machine-learning-master\mlclass-ex7, 0 , 2018-05-15
coursera-machine-learning-master\mlclass-ex8, 0 , 2018-05-15
coursera-machine-learning-master\quiz, 0 , 2018-05-15
coursera-machine-learning-master\README.md, 70 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\computeCost.m, 716 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\computeCostMulti.m, 755 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\ex1.m, 4411 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\ex1.pdf, 514132 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\ex1data1.txt, 1359 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\ex1data2.txt, 657 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\ex1_multi.m, 4592 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\featureNormalize.m, 1399 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\gradientDescent.m, 1187 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\gradientDescentMulti.m, 1043 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\normalEqn.m, 676 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\octave-workspace, 2402 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\plotData.m, 1053 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\submit.m, 17317 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\submitWeb.m, 807 , 2018-05-15
coursera-machine-learning-master\mlclass-ex1\warmUpExercise.m, 520 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\costFunction.m, 1104 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\costFunctionReg.m, 1278 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\ex2.m, 3723 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\ex2.pdf, 256432 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\ex2data1.txt, 3775 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\ex2data2.txt, 2233 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\ex2_reg.m, 2977 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\mapFeature.m, 508 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\octave-workspace, 4916 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\plotData.m, 862 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\plotDecisionBoundary.m, 1451 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\predict.m, 781 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\sigmoid.m, 491 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\submit.m, 17086 , 2018-05-15
coursera-machine-learning-master\mlclass-ex2\submitWeb.m, 807 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\displayData.m, 1502 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\ex3.m, 2108 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\ex3.pdf, 330389 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\ex3data1.mat, 7511764 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\ex3weights.mat, 79592 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\ex3_nn.m, 2637 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\fmincg.m, 8742 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\lrCostFunction.m, 2146 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\oneVsAll.m, 1950 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\predict.m, 1268 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\predictOneVsAll.m, 1552 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\sigmoid.m, 137 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\submit.m, 17041 , 2018-05-15
coursera-machine-learning-master\mlclass-ex3\submitWeb.m, 807 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\checkNNGradients.m, 1950 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\computeNumericalGradient.m, 1095 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\debugInitializeWeights.m, 841 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\displayData.m, 1502 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\ex4.m, 8073 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\ex4.pdf, 392564 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\ex4data1.mat, 7511764 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\ex4weights.mat, 79592 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\fmincg.m, 8742 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\nnCostFunction.m, 5022 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\predict.m, 585 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\randInitializeWeights.m, 899 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\sigmoid.m, 137 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\sigmoidGradient.m, 712 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\submit.m, 17129 , 2018-05-15
coursera-machine-learning-master\mlclass-ex4\submitWeb.m, 807 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\ex5.m, 6782 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\ex5.pdf, 185903 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\ex5data1.mat, 1321 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\featureNormalize.m, 510 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\fmincg.m, 8742 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\learningCurve.m, 2673 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\linearRegCostFunction.m, 1309 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\plotFit.m, 804 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\polyFeatures.m, 708 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\submit.m, 17211 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\submitWeb.m, 807 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\trainLinearReg.m, 714 , 2018-05-15
coursera-machine-learning-master\mlclass-ex5\validationCurve.m, 2297 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\dataset3Params.m, 2027 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\emailFeatures.m, 2118 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\emailSample1.txt, 393 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\emailSample2.txt, 1301 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\ex6.m, 4130 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\ex6.pdf, 359419 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\ex6data1.mat, 981 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\ex6data2.mat, 7604 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\ex6data3.mat, 6038 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\ex6_spam.m, 4593 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\gaussianKernel.m, 711 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\getVocabList.m, 761 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\linearKernel.m, 323 , 2018-05-15
coursera-machine-learning-master\mlclass-ex6\octave-workspace, 11 , 2018-05-15

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