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文件名称:MachineLearning-master

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机器学习算法，包括knn等，K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一。(machine learning algorithm)
相关搜索： 人工智能

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下载文件列表

MachineLearning-master

MachineLearning-master\Adaboost

MachineLearning-master\Adaboost\README.md

MachineLearning-master\Adaboost\adaboost.py

MachineLearning-master\Adaboost\testAdaboost.py

MachineLearning-master\Decision-Tree

MachineLearning-master\Decision-Tree\README.md

MachineLearning-master\Decision-Tree\TestTree.py

MachineLearning-master\Decision-Tree\Tree.py

MachineLearning-master\DeepLearning

MachineLearning-master\DeepLearning\CNN_cifar-10

MachineLearning-master\DeepLearning\CNN_cifar-10\cifar.py

MachineLearning-master\DeepLearning\CNN_mnist

MachineLearning-master\DeepLearning\CNN_mnist\cnn.py

MachineLearning-master\DeepLearning\CNN_mnist\data.py

MachineLearning-master\DeepLearning\CNN_mnist\trainCNN.py

MachineLearning-master\DeepLearning\UFLDL

MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise

MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise\checkNumericalGradient.m

MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise\computeNumericalGradient.m

MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise\display_network.m

MachineLearning-master\DeepLearning\UFLDL\Vectorization_sparseae_exercise\initializeParameters.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\display_network.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\feedForwardAutoencoder.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\initializeParameters.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\loadMNISTImages.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\loadMNISTLabels.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\softmaxCost.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\softmaxPredict.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\softmaxTrain.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\sparseAutoencoderCost.m

MachineLearning-master\DeepLearning\UFLDL\stl_exercise\stlExercise.m

MachineLearning-master\GMM

MachineLearning-master\GMM\README.md

MachineLearning-master\GMM\gmm.m

MachineLearning-master\GMM\gmm.py

MachineLearning-master\GMM\testGMM.m

MachineLearning-master\GMM\testSet.txt

MachineLearning-master\KNN

MachineLearning-master\KNN\KNN.m

MachineLearning-master\KNN\KNN.py

MachineLearning-master\KNN\KNNdatgingTest.m

MachineLearning-master\KNN\README.md

MachineLearning-master\KNN\datingTestSet2.txt

MachineLearning-master\KNN\handWritingTest.m

MachineLearning-master\Kmeans

MachineLearning-master\Kmeans\README.md

MachineLearning-master\Kmeans\distEclud.m

MachineLearning-master\Kmeans\kMeans.m

MachineLearning-master\Kmeans\testSet.txt

MachineLearning-master\Kmeans\testkMeans.m

MachineLearning-master\Logistic-regression

MachineLearning-master\Logistic-regression\ImproveStocGradAscent.m

MachineLearning-master\Logistic-regression\README.md

MachineLearning-master\Logistic-regression\gradAscent.m

MachineLearning-master\Logistic-regression\stocGradAscent.m

MachineLearning-master\Logistic-regression\testSet.txt

MachineLearning-master\MLP

MachineLearning-master\MLP\dualperceptron.py

MachineLearning-master\MLP\perceptron.py

MachineLearning-master\MLP\testSet.txt

MachineLearning-master\PCA

MachineLearning-master\PCA\PCA.m

MachineLearning-master\PCA\README.md

MachineLearning-master\PCA\testPCA.m

MachineLearning-master\PCA\testSet.txt

MachineLearning-master\README.md

MachineLearning-master\bikMeans

MachineLearning-master\bikMeans\README.md

MachineLearning-master\bikMeans\bikMeans.m

MachineLearning-master\bikMeans\testSet.txt

MachineLearning-master\kalmanFilter

MachineLearning-master\kalmanFilter\KF.m

MachineLearning-master\kalmanFilter\kalmanFiltering.m

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