《机器学习基础——原理、算法与实践》源代码.zip
所属分类:人工智能 > 机器学习
文件大小:19.49 MB
上传日期:2021-02-13 18:58
MD5:d2c1ef3695************c3af7995c2
资源说明:机器学习基础、原理算法与实践 MATLAB 源代码,《机器学习基础——原理、算法与实践》源代码,机器学习内容涉及广泛,《高数》、《概率论》、《线性代数》、《矩阵论》、《随机过程》等内容。
本站所提供资源仅作为个人学习、交流使用,不可用于任何商业目的与用途。
# | 文件名称 | 大小 | 最后修改时间 |
---|---|---|---|
1 | ElementsOfMachineLearning | 0 Bytes | 2017/12/31 11:09:00 |
2 | ElementsOfMachineLearning\ch10SVM | 0 Bytes | 2017/6/27 21:21:19 |
3 | ElementsOfMachineLearning\ch10SVM\CoordinateDescentDemo.m | 2.38 KB | 2017/6/12 16:22:51 |
4 | ElementsOfMachineLearning\ch10SVM\DualQPDemo.m | 1.52 KB | 2017/6/11 9:30:20 |
5 | ElementsOfMachineLearning\ch10SVM\PrimalQPDemo.m | 1.11 KB | 2017/5/28 9:45:58 |
6 | ElementsOfMachineLearning\ch10SVM\SMODemo.m | 3.36 KB | 2017/6/28 10:00:32 |
7 | ElementsOfMachineLearning\ch10SVM\SMOPredict.m | 1.23 KB | 2017/5/3 9:08:55 |
8 | ElementsOfMachineLearning\ch10SVM\SMOTrain.m | 4.6 KB | 2017/6/24 20:27:32 |
9 | ElementsOfMachineLearning\ch10SVM\SoftMarginDualQPDemo.m | 1.61 KB | 2017/6/11 19:04:51 |
10 | ElementsOfMachineLearning\ch10SVM\exploringLibSVM.m | 1.67 KB | 2017/4/24 12:36:04 |
11 | ElementsOfMachineLearning\ch10SVM\gaussianKernel.m | 246 Bytes | 2017/5/6 14:37:04 |
12 | ElementsOfMachineLearning\ch10SVM\linearKernel.m | 203 Bytes | 2017/5/6 14:36:35 |
13 | ElementsOfMachineLearning\ch10SVM\plotData.m | 423 Bytes | 2017/6/27 21:19:23 |
14 | ElementsOfMachineLearning\ch10SVM\testLibSVM.m | 453 Bytes | 2017/4/20 20:35:27 |
15 | ElementsOfMachineLearning\ch11CF | 0 Bytes | 2017/8/7 12:17:35 |
16 | ElementsOfMachineLearning\ch11CF\adjustedCosineDemo.m | 2.22 KB | 2017/8/3 19:36:57 |
17 | ElementsOfMachineLearning\ch11CF\distance.m | 1.09 KB | 2017/7/29 16:05:20 |
18 | ElementsOfMachineLearning\ch11CF\featuresCFDemo.m | 2.65 KB | 2017/8/7 20:28:31 |
19 | ElementsOfMachineLearning\ch11CF\getFilms.m | 213 Bytes | 2017/7/29 16:31:44 |
20 | ElementsOfMachineLearning\ch11CF\getKSimilarUsers.m | 363 Bytes | 2017/7/29 14:56:44 |
21 | ElementsOfMachineLearning\ch11CF\getRatingsByUserid.m | 751 Bytes | 2017/7/25 9:48:06 |
22 | ElementsOfMachineLearning\ch11CF\getRecommends.m | 558 Bytes | 2017/7/29 21:24:13 |
23 | ElementsOfMachineLearning\ch11CF\getuinfo.m | 299 Bytes | 2017/7/21 11:21:33 |
24 | ElementsOfMachineLearning\ch11CF\itemBasedCFDemo.m | 2.52 KB | 2017/8/6 9:28:59 |
25 | ElementsOfMachineLearning\ch11CF\makeRatingMatrix.m | 592 Bytes | 2017/8/3 19:46:10 |
26 | ElementsOfMachineLearning\ch11CF\testDistance.m | 895 Bytes | 2017/7/31 15:43:41 |
27 | ElementsOfMachineLearning\ch11CF\userBasedCFDemo.m | 779 Bytes | 2017/7/29 17:59:47 |
28 | ElementsOfMachineLearning\ch12PCA | 0 Bytes | 2017/11/2 12:10:28 |
29 | ElementsOfMachineLearning\ch12PCA\EigSvdDemo.m | 1.14 KB | 2017/11/2 9:17:09 |
30 | ElementsOfMachineLearning\ch12PCA\PCAdemo1.m | 1.82 KB | 2017/9/21 17:39:38 |
31 | ElementsOfMachineLearning\ch12PCA\PCAdemo2.m | 1.74 KB | 2017/11/6 18:56:33 |
32 | ElementsOfMachineLearning\ch12PCA\PCAdemo3.m | 1.99 KB | 2017/11/7 10:51:31 |
33 | ElementsOfMachineLearning\ch12PCA\draw_arrow.m | 724 Bytes | 2016/7/16 14:08:14 |
34 | ElementsOfMachineLearning\ch12PCA\exercise.m | 1.59 KB | 2017/11/6 19:13:31 |
35 | ElementsOfMachineLearning\ch1Introduction | 0 Bytes | 2017/11/27 12:47:32 |
36 | ElementsOfMachineLearning\ch1Introduction\irisScatter.m | 1.58 KB | 2017/11/28 20:16:55 |
37 | ElementsOfMachineLearning\ch1Introduction\percentiles.m | 379 Bytes | 2017/11/27 9:30:07 |
38 | ElementsOfMachineLearning\ch1Introduction\weatherNominal.m | 1 KB | 2018/1/8 9:05:12 |
39 | ElementsOfMachineLearning\ch1Introduction\weatherNumeric.m | 881 Bytes | 2018/1/8 9:05:31 |
40 | ElementsOfMachineLearning\ch2LinearRegression | 0 Bytes | 2017/3/13 9:56:09 |
41 | ElementsOfMachineLearning\ch2LinearRegression\LeastSquares.m | 942 Bytes | 2017/1/11 11:00:42 |
42 | ElementsOfMachineLearning\ch2LinearRegression\LeastSquaresPrediction.m | 1.32 KB | 2017/1/11 11:01:06 |
43 | ElementsOfMachineLearning\ch2LinearRegression\MVGradientDescent.m | 2.18 KB | 2017/1/11 11:02:26 |
44 | ElementsOfMachineLearning\ch2LinearRegression\MVNormalEquations.m | 928 Bytes | 2017/1/11 11:03:03 |
45 | ElementsOfMachineLearning\ch2LinearRegression\MVStochasticGradientDescent.m | 2.39 KB | 2017/1/11 11:03:40 |
46 | ElementsOfMachineLearning\ch2LinearRegression\OVGradientDescent.m | 2.68 KB | 2016/12/28 12:12:28 |
47 | ElementsOfMachineLearning\ch2LinearRegression\PolynomialRegression.m | 2.23 KB | 2017/1/11 11:04:18 |
48 | ElementsOfMachineLearning\ch2LinearRegression\PolynomialRegressionValidation.m | 1.8 KB | 2017/1/11 11:04:40 |
49 | ElementsOfMachineLearning\ch2LinearRegression\RegularizedGDPolynomialRegression.m | 3.06 KB | 2017/3/13 9:49:14 |
50 | ElementsOfMachineLearning\ch2LinearRegression\RegularizedNEPolynomialRegression.m | 1.37 KB | 2017/1/11 12:13:49 |
51 | ElementsOfMachineLearning\ch2LinearRegression\plotData.m | 632 Bytes | 2016/12/20 18:12:15 |
52 | ElementsOfMachineLearning\ch3LogisticRegression | 0 Bytes | 2017/10/2 22:53:47 |
53 | ElementsOfMachineLearning\ch3LogisticRegression\BinaryLogisticRegDemo.m | 4.3 KB | 2017/1/25 16:10:13 |
54 | ElementsOfMachineLearning\ch3LogisticRegression\BinaryLogisticRegDemo1.m | 3.18 KB | 2017/1/25 16:10:23 |
55 | ElementsOfMachineLearning\ch3LogisticRegression\OnevsAllLogisticRegDemo.m | 4.95 KB | 2017/10/2 20:02:51 |
56 | ElementsOfMachineLearning\ch3LogisticRegression\OnevsOneLogisticRegDemo.m | 5.66 KB | 2017/10/2 20:02:59 |
57 | ElementsOfMachineLearning\ch3LogisticRegression\PolynomialLogisticRegDemo.m | 3.8 KB | 2017/8/9 19:58:33 |
58 | ElementsOfMachineLearning\ch3LogisticRegression\SoftmaxRegDemo.m | 2.18 KB | 2017/10/5 13:49:42 |
59 | ElementsOfMachineLearning\ch3LogisticRegression\plotCost.m | 757 Bytes | 2017/1/20 16:23:02 |
60 | ElementsOfMachineLearning\ch3LogisticRegression\plotJofTheta.m | 1.13 KB | 2017/9/2 9:57:07 |
61 | ElementsOfMachineLearning\ch3LogisticRegression\plotLinearRegresion.m | 1.83 KB | 2017/1/20 16:38:39 |
62 | ElementsOfMachineLearning\ch3LogisticRegression\plotSigmoid.m | 289 Bytes | 2017/3/11 21:09:05 |
63 | ElementsOfMachineLearning\ch4bayes | 0 Bytes | 2017/8/17 12:07:07 |
64 | ElementsOfMachineLearning\ch4bayes\GDAdemo.m | 2.35 KB | 2017/8/10 8:39:14 |
65 | ElementsOfMachineLearning\ch4bayes\naiveBayesDemo.m | 2.29 KB | 2017/8/14 16:22:14 |
66 | ElementsOfMachineLearning\ch4bayes\naiveBayesDemo2.m | 3.46 KB | 2017/8/14 18:52:12 |
67 | ElementsOfMachineLearning\ch4bayes\plotGaussianPDF.m | 1.6 KB | 2017/8/11 20:40:46 |
68 | ElementsOfMachineLearning\ch4bayes\spamDemo.m | 1.63 KB | 2017/8/17 10:31:46 |
69 | ElementsOfMachineLearning\ch4bayes\spamDemo2.m | 1.51 KB | 2017/8/21 12:45:50 |
70 | ElementsOfMachineLearning\ch5ModelsSelection | 0 Bytes | 2018/3/16 23:50:14 |
71 | ElementsOfMachineLearning\ch5ModelsSelection\BiasVariance.m | 1.47 KB | 2018/1/8 9:41:23 |
72 | ElementsOfMachineLearning\ch5ModelsSelection\CVdemo.m | 2.3 KB | 2017/12/13 20:50:29 |
73 | ElementsOfMachineLearning\ch5ModelsSelection\LRfunc.m | 3.3 KB | 2017/12/28 22:15:50 |
74 | ElementsOfMachineLearning\ch5ModelsSelection\LearningCurves.m | 1.63 KB | 2017/12/28 22:58:33 |
75 | ElementsOfMachineLearning\ch5ModelsSelection\ROCdemo.m | 962 Bytes | 2017/9/9 16:56:08 |
76 | ElementsOfMachineLearning\ch5ModelsSelection\RegularizationBV.m | 2.13 KB | 2018/3/16 23:44:21 |
77 | ElementsOfMachineLearning\ch5ModelsSelection\confMatrixdemo.m | 425 Bytes | 2017/9/7 15:47:04 |
78 | ElementsOfMachineLearning\ch5ModelsSelection\onevsonefunc.m | 3.28 KB | 2017/12/28 22:15:50 |
79 | ElementsOfMachineLearning\ch6Kmeans&EM | 0 Bytes | 2017/7/17 10:16:22 |
80 | ElementsOfMachineLearning\ch6Kmeans&EM\EStep.m | 456 Bytes | 2016/7/3 16:52:39 |
81 | ElementsOfMachineLearning\ch6Kmeans&EM\MStep.m | 644 Bytes | 2016/7/3 8:06:20 |
82 | ElementsOfMachineLearning\ch6Kmeans&EM\child.png | 132.5 KB | 2016/7/1 22:29:13 |
83 | ElementsOfMachineLearning\ch6Kmeans&EM\compressedchild.png | 5.78 KB | 2017/7/17 10:00:48 |
84 | ElementsOfMachineLearning\ch6Kmeans&EM\displayData.m | 1.47 KB | 2016/7/1 22:29:13 |
85 | ElementsOfMachineLearning\ch6Kmeans&EM\drawLine.m | 232 Bytes | 2016/7/1 22:29:13 |
86 | ElementsOfMachineLearning\ch6Kmeans&EM\gaussMixtureDemo.m | 3.01 KB | 2017/7/17 10:13:55 |
87 | ElementsOfMachineLearning\ch6Kmeans&EM\initCentroids.m | 268 Bytes | 2016/7/3 8:05:32 |
88 | ElementsOfMachineLearning\ch6Kmeans&EM\kmeansDemo1.m | 1.71 KB | 2017/7/17 9:59:22 |
89 | ElementsOfMachineLearning\ch6Kmeans&EM\kmeansDemo2.m | 1.78 KB | 2017/7/4 18:56:48 |
90 | ElementsOfMachineLearning\ch6Kmeans&EM\kmeansDemo3.m | 1.6 KB | 2017/7/5 10:07:12 |
91 | ElementsOfMachineLearning\ch6Kmeans&EM\mixtureGaussiansGen.m | 1.03 KB | 2017/7/17 15:40:25 |
92 | ElementsOfMachineLearning\ch6Kmeans&EM\plotCentroidsHistory.m | 642 Bytes | 2017/7/17 9:42:39 |
93 | ElementsOfMachineLearning\ch7DecisionTrees | 0 Bytes | 2017/10/17 16:09:19 |
94 | ElementsOfMachineLearning\ch7DecisionTrees\C45.m | 7.83 KB | 2017/1/8 21:13:30 |
95 | ElementsOfMachineLearning\ch7DecisionTrees\C45demo.m | 1.38 KB | 2017/10/16 22:13:30 |
96 | ElementsOfMachineLearning\ch7DecisionTrees\CART.m | 9.59 KB | 2017/1/8 21:16:03 |
97 | ElementsOfMachineLearning\ch7DecisionTrees\CARTdemo.m | 1.42 KB | 2017/10/16 22:14:42 |
98 | ElementsOfMachineLearning\ch7DecisionTrees\ID3.m | 5.08 KB | 2017/1/8 21:16:41 |
99 | ElementsOfMachineLearning\ch7DecisionTrees\ID3demo.m | 599 Bytes | 2017/10/16 22:14:07 |
100 | ElementsOfMachineLearning\ch7DecisionTrees\plotEntropyGini.m | 346 Bytes | 2017/10/17 16:28:22 |
101 | ElementsOfMachineLearning\ch8ANN | 0 Bytes | 2017/10/9 23:30:38 |
102 | ElementsOfMachineLearning\ch8ANN\LogicalAND.m | 2.79 KB | 2017/2/19 16:08:55 |
103 | ElementsOfMachineLearning\ch8ANN\LogicalNOT.m | 2.65 KB | 2017/2/19 16:08:48 |
104 | ElementsOfMachineLearning\ch8ANN\LogicalOR.m | 2.79 KB | 2017/2/19 16:08:40 |
105 | ElementsOfMachineLearning\ch8ANN\LogicalXOR.m | 1.96 KB | 2017/2/19 16:07:48 |
106 | ElementsOfMachineLearning\ch8ANN\MNISTANN.m | 6.59 KB | 2017/10/9 23:30:19 |
107 | ElementsOfMachineLearning\ch8ANN\MNISTLogisticReg.m | 2.56 KB | 2017/2/8 15:55:18 |
108 | ElementsOfMachineLearning\ch8ANN\plotDerivativeSigmoid.m | 336 Bytes | 2017/3/11 21:10:34 |
109 | ElementsOfMachineLearning\ch8ANN\plotDerivativeTanh.m | 365 Bytes | 2017/3/11 20:52:47 |
110 | ElementsOfMachineLearning\ch8ANN\plotTanh.m | 318 Bytes | 2017/3/11 20:51:22 |
111 | ElementsOfMachineLearning\ch9HMM | 0 Bytes | 2017/10/25 10:02:38 |
112 | ElementsOfMachineLearning\ch9HMM\hmmBackward.m | 753 Bytes | 2017/10/24 10:56:04 |
113 | ElementsOfMachineLearning\ch9HMM\hmmBackwardDemo.m | 532 Bytes | 2017/10/25 8:29:47 |
114 | ElementsOfMachineLearning\ch9HMM\hmmForward.m | 901 Bytes | 2017/10/24 10:57:29 |
115 | ElementsOfMachineLearning\ch9HMM\hmmForwardDemo.m | 533 Bytes | 2017/10/25 8:27:21 |
116 | ElementsOfMachineLearning\ch9HMM\hmmGenerate.m | 983 Bytes | 2017/10/24 11:02:52 |
117 | ElementsOfMachineLearning\ch9HMM\hmmGenerateDemo.m | 474 Bytes | 2017/10/25 8:24:37 |
118 | ElementsOfMachineLearning\ch9HMM\hmmIndividually.m | 1.14 KB | 2017/10/24 10:59:48 |
119 | ElementsOfMachineLearning\ch9HMM\hmmIndividuallyDemo.m | 516 Bytes | 2017/10/25 8:42:34 |
120 | ElementsOfMachineLearning\ch9HMM\hmmLearn.m | 3.07 KB | 2017/10/25 10:03:04 |
121 | ElementsOfMachineLearning\ch9HMM\hmmLearnDemo.m | 943 Bytes | 2017/10/25 10:08:44 |
122 | ElementsOfMachineLearning\ch9HMM\hmmViterbi.m | 1.04 KB | 2017/10/25 10:41:00 |
123 | ElementsOfMachineLearning\ch9HMM\hmmViterbiDemo.m | 505 Bytes | 2017/10/25 10:54:22 |
124 | ElementsOfMachineLearning\data | 0 Bytes | 2017/8/8 19:22:08 |
125 | ElementsOfMachineLearning\data\Freestyle100m.mat | 390 Bytes | 2016/12/19 18:28:55 |
126 | ElementsOfMachineLearning\data\fisheriris.mat | 16.25 KB | 2010/3/15 20:31:02 |
127 | ElementsOfMachineLearning\data\ionosphere.mat | 57.35 KB | 2010/3/15 20:31:16 |
128 | ElementsOfMachineLearning\data\machine.data | 8.52 KB | 2016/12/23 9:32:34 |
129 | ElementsOfMachineLearning\data\machine.names | 2.83 KB | 2016/12/23 9:32:34 |
130 | ElementsOfMachineLearning\data\machine.txt | 5.12 KB | 2016/12/23 10:03:52 |
131 | ElementsOfMachineLearning\data\ml-100k | 0 Bytes | 2017/7/21 10:57:46 |
132 | ElementsOfMachineLearning\data\ml-100k\README | 6.59 KB | 2017/7/21 10:57:46 |
133 | ElementsOfMachineLearning\data\ml-100k\allbut.pl | 716 Bytes | 2017/7/21 10:57:46 |
134 | ElementsOfMachineLearning\data\ml-100k\mku.sh | 643 Bytes | 2017/7/21 10:57:46 |
135 | ElementsOfMachineLearning\data\ml-100k\u.data | 1.89 MB | 2017/7/21 10:57:46 |
136 | ElementsOfMachineLearning\data\ml-100k\u.genre | 202 Bytes | 2017/7/21 10:57:46 |
137 | ElementsOfMachineLearning\data\ml-100k\u.info | 36 Bytes | 2017/7/21 10:57:46 |
138 | ElementsOfMachineLearning\data\ml-100k\u.item | 230.8 KB | 2017/7/21 10:57:46 |
139 | ElementsOfMachineLearning\data\ml-100k\u.occupation | 193 Bytes | 2017/7/21 10:57:46 |
140 | ElementsOfMachineLearning\data\ml-100k\u.user | 22.1 KB | 2017/7/21 10:57:46 |
141 | ElementsOfMachineLearning\data\ml-100k\u1.base | 1.51 MB | 2017/7/21 10:57:46 |
142 | ElementsOfMachineLearning\data\ml-100k\u1.test | 383.43 KB | 2017/7/21 10:57:46 |
143 | ElementsOfMachineLearning\data\ml-100k\u2.base | 1.51 MB | 2017/7/21 10:57:46 |
144 | ElementsOfMachineLearning\data\ml-100k\u2.test | 385.96 KB | 2017/7/21 10:57:46 |
145 | ElementsOfMachineLearning\data\ml-100k\u3.base | 1.51 MB | 2017/7/21 10:57:46 |
146 | ElementsOfMachineLearning\data\ml-100k\u3.test | 387.33 KB | 2017/7/21 10:57:46 |
147 | ElementsOfMachineLearning\data\ml-100k\u4.base | 1.51 MB | 2017/7/21 10:57:46 |
148 | ElementsOfMachineLearning\data\ml-100k\u4.test | 387.98 KB | 2017/7/21 10:57:46 |
149 | ElementsOfMachineLearning\data\ml-100k\u5.base | 1.51 MB | 2017/7/21 10:57:46 |
150 | ElementsOfMachineLearning\data\ml-100k\u5.test | 388.08 KB | 2017/7/21 10:57:46 |
151 | ElementsOfMachineLearning\data\ml-100k\ua.base | 1.71 MB | 2017/7/21 10:57:46 |
152 | ElementsOfMachineLearning\data\ml-100k\ua.test | 182.3 KB | 2017/7/21 10:57:46 |
153 | ElementsOfMachineLearning\data\ml-100k\ub.base | 1.71 MB | 2017/7/21 10:57:46 |
154 | ElementsOfMachineLearning\data\ml-100k\ub.test | 182.32 KB | 2017/7/21 10:57:46 |
155 | ElementsOfMachineLearning\data\ml-100k.zip | 4.7 MB | 2017/7/20 10:45:57 |
156 | ElementsOfMachineLearning\data\spambase | 0 Bytes | 2017/8/8 19:22:08 |
157 | ElementsOfMachineLearning\data\spambase\spambase.DOCUMENTATION | 6.28 KB | 1999/8/17 11:48:54 |
158 | ElementsOfMachineLearning\data\spambase\spambase.data | 686.47 KB | 1999/8/16 22:24:14 |
159 | ElementsOfMachineLearning\data\spambase\spambase.names | 3.48 KB | 1999/8/17 11:42:30 |
160 | ElementsOfMachineLearning\data\spambase.zip | 122.51 KB | 2017/8/8 19:18:24 |
161 | ElementsOfMachineLearning\data\t10k-images.idx3-ubyte | 7.48 MB | 1998/1/26 23:07:25 |
162 | ElementsOfMachineLearning\data\t10k-labels.idx1-ubyte | 9.77 KB | 1998/1/26 23:07:48 |
163 | ElementsOfMachineLearning\data\train-images.idx3-ubyte | 44.86 MB | 1996/11/18 23:36:26 |
164 | ElementsOfMachineLearning\data\train-labels.idx1-ubyte | 58.6 KB | 1996/11/18 23:36:38 |
165 | ElementsOfMachineLearning\data\weatherNominal.mat | 1.06 KB | 2016/5/18 8:56:56 |
166 | ElementsOfMachineLearning\data\weatherNumeric.mat | 1.04 KB | 2016/5/18 8:47:42 |
167 | ElementsOfMachineLearning\readme.txt | 125 Bytes | 2017/12/31 11:24:55 |
168 | ElementsOfMachineLearning\setpath.m | 208 Bytes | 2017/12/31 11:20:56 |
169 | ElementsOfMachineLearning\utilities | 0 Bytes | 2017/7/17 10:33:34 |
170 | ElementsOfMachineLearning\utilities\displayMNISTData.m | 1.47 KB | 2017/2/26 16:30:12 |
171 | ElementsOfMachineLearning\utilities\fmincg.m | 8.54 KB | 2013/11/11 9:39:22 |
172 | ElementsOfMachineLearning\utilities\loadMNISTidx1.m | 667 Bytes | 2017/2/24 16:40:42 |
173 | ElementsOfMachineLearning\utilities\loadMNISTidx3.m | 1.02 KB | 2017/2/6 14:00:45 |
174 | ElementsOfMachineLearning\utilities\plot2DGaussians.m | 856 Bytes | 2017/8/9 20:48:44 |
175 | ElementsOfMachineLearning\utilities\sampling.m | 372 Bytes | 2017/2/6 12:23:53 |
请留下有营养的评论,广告灌水一律拉黑处理,谢谢合作!