Python-这份笔记旨在帮助中文学习者以一种较快较系统的方式入门机器学习
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2019-08-11
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Python-这份笔记旨在帮助中文学习者以一种较快较系统的方式入门机器学习 （149个子文件） 
123 1B 123 1B train.csv 60KB test.csv 28KB regression_tree.dot 39KB iris_tree.dot 844B .gitignore 1KB 13_卷积神经网络_convolutional_neural_networks.ipynb 6.05MB 04_Training Models.ipynb 5.4MB 08_ Dimensionality Reduction.ipynb 2.92MB 02_Housing.ipynb 2.28MB 08_Exercise solutions(9-10).ipynb 2.27MB 05_Support Vector Machines.ipynb 2.27MB 08_Extra Material – Clustering.ipynb 2.24MB 16_reinforcement_learning.ipynb 1.77MB 14_递归神经网络_recurrent_neural_networks.ipynb 1.66MB 07_Ensemble Learning and Random Forests.ipynb 1.59MB 11_Exercises solutions.ipynb 1.57MB 12_分布式_TensorFlow_Distributed_tensorflow.ipynb 1.48MB 11_Training Deep Neural Nets.ipynb 1.46MB 10_Introduction to Artificial Neural Networks.ipynb 1.03MB 15_自动编码_autoencoders.ipynb 1003KB 09_Up and Running with TensorFlow.ipynb 817KB 03_Classification_MNIST.ipynb 765KB 06_Decision Trees.ipynb 415KB 03_Exercises_3_4_soilutions.ipynb 124KB 01_The Machine Learning Landscape.ipynb 1KB 01_the_machine_learning_landscape.ipynb 1KB LICENSE 11KB README.md 3KB
scatter_matrix_plot.png 1.9MB california_housing_prices_plot.png 1.2MB housing_prices_scatterplot.png 1.09MB iris_3D_plot.png 982KB image_segmentation_diagram.png 931KB china_original.png 736KB income_vs_house_value_scatterplot.png 704KB boosting_plot.png 693KB squished_swiss_roll_plot.png 683KB kmeans_algorithm_diagram.png 628KB swiss_roll_plot.png 597KB ladybug.png 561KB moons_vs_bgm_diagram.png 526KB other_dim_reduction_plot.png 498KB covariance_type_diagram.png 494KB lasso_vs_ridge_plot.png 481KB kernel_pca_plot.png 467KB mixture_anomaly_detection_diagram.png 440KB gaussian_mixtures_diagram.png 416KB decision_tree_without_and_with_bagging_plot.png 410KB softmax_regression_contour_plot.png 378KB gradient_boosting_plot.png 365KB moons_rbf_svc_plot.png 351KB mixture_concentration_prior_diagram.png 332KB logistic_regression_contour_plot.png 326KB dataset_3d_plot.png 324KB dbscan_diagram.png 318KB preimage_plot.png 305KB bad_n_clusters_diagram.png 287KB A Decision Tree for regression.png 279KB kmeans_variability_diagram.png 277KB manifold_decision_boundary_plot1.png 261KB law_of_large_numbers_plot.png 255KB silhouette_analysis_diagram.png 251KB svm_with_polynomial_kernel_plot.png 249KB pca_best_projection.png 230KB china_max_pool.png 225KB lle_unrolling_plot.png 220KB bad_kmeans_diagram.png 214KB svm_regression_plot.png 212KB time_series_plot.png 207KB regularization_plot.png 206KB manifold_decision_boundary_plot3.png 201KB gradient_descent_plot.png 187KB sensitivity_to_rotation_plot.png 181KB tree_regression_regularization_plot.png 180KB test_image.png 178KB minibatch_kmeans_vs_kmeans.png 177KB activation_functions_plot.png 177KB likelihood_function_diagram.png 172KB voronoi_diagram.png 171KB kernel_method_plot.png 169KB creative_sequence_plot.png 168KB roc_curve_comparison_plot.png 164KB manifold_decision_boundary_plot2.png 161KB gradient_descent_paths_plot.png 158KB representative_images_diagram.png 156KB moons_kernelized_polynomial_svc_plot.png 156KB ridge_regression_plot.png 155KB early_stopping_gbrt_plot.png 154KB manifold_decision_boundary_plot4.png 154KB tree_regression_plot.png 150KB gbrt_learning_rate_plot.png 148KB high_degree_polynomials_plot.png 140KB large_margin_classification_plot.png 140KB lasso_regression_plot.png 137KB logistic_regression_plot.png 133KB roc_curve_plot.png 131KB perceptron_iris_plot.png 125KB classification_vs_clustering_diagram.png 120KB共 149 条
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