林轩田-机器学习技法

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文档列表

P53 13-4 Deep Learning -- Principal Component Analysis @ Machine Learning Techniques (機器學習技法).mp4 45.4 MB
P50 13-1 Deep Learning -- Deep Neural Network @ Machine Learning Techniques (機器學習技法).mp4 43.7 MB
P10 3-1 Kernel Support Vector Machine -- Kernel Trick @ Machine Learning Techniques (機器學習技法).mp4 41.1 MB
P46 12-1 Neural Network -- Motivation @ Machine Learning Techniques (機器學習技法).mp4 39.6 MB
P26 7-1 Blending and Bagging -- Motivation of Aggregation @ Machine Learning Techniques (機器學習技法).mp4 39.3 MB
P34 9-1 Decision Tree -- Decision Tree Hypothesis @ Machine Learning Techniques (機器學習技法).mp4 38.6 MB
P43 11-2 Gradient Boosted Decision Tree -- Optimization of AdaBoost @ Machine Learning Techniques (機器學習技法).mp4 37.9 MB
P3 1-3 Linear SVM -- Standard Large-Margin Problem @ Machine Learning Techniques (機器學習技法).mp4 37.8 MB
P6 2-1 Dual Support Vector Machine -- Motivation of Dual SVM @ Machine Learning Techniques (機器學習技法).mp4 35.7 MB
P40 10-3 Random Forest -- Feature Selection @ Machine Learning Techniques (機器學習技法).mp4 35.2 MB
P62 16-1 Finale -- Feature Exploitation Techniques @ Machine Learning Techniques (機器學習技法).mp4 34.7 MB
P27 7-2 Blending and Bagging -- Uniform Blending @ Machine Learning Techniques (機器學習技法).mp4 34.6 MB
P7 2-2 Dual Support Vector Machine -- Largange Dual SVM @ Machine Learning Techniques (機器學習技法).mp4 33.5 MB
P49 12-4 Neural Network -- Optimization and Regularization @ Machine Learning Techniques (機器學習技法).mp4 33.0 MB
P23 6-2 Support Vector Regression -- Support Vector Regression Primal @ Machine Learning Techniques (機器學習技法).mp4 32.8 MB
P48 12-3 Neural Network -- Neural Network Learning @ Machine Learning Techniques (機器學習技法).mp4 32.3 MB
P22 6-1 Support Vector Regression -- Kernel Ridge Regression @ Machine Learning Techniques (機器學習技法).mp4 31.7 MB
P58 15-1 Matrix Factorization -- Linear Network Hypothesis @ Machine Learning Techniques (機器學習技法).mp4 31.1 MB
P28 7-3 Blending and Bagging -- Linear and Any Blending @ Machine Learning Techniques (機器學習技法).mp4 30.9 MB
P42 11-1 Gradient Boosted Decision Tree -- AdaBoost Decision Tree @ Machine Learning Techniques (機器學習技法).mp4 30.7 MB
P14 4-1 Soft-Margin Support Vector Machine -- Motivation and Primal @ Machine Learning Techniques (機器學習技法).mp4 30.6 MB
P21 5-4 Kernel Logistic Regression -- Kernel Logistic Regression @ Machine Learning Techniques (機器學習技法).mp4 30.1 MB
P55 14-2 Radial Basis Function Network -- RBF Network Learning @ Machine Learning Techniques (機器學習技法).mp4 30.0 MB
P45 11-4 Gradient Boosted Decision Tree -- Summary of Aggregation @ Machine Learning Techniques (機器學習技法).mp4 29.9 MB
P59 15-2 Matrix Factorization -- Basic Matrix Factorization @ Machine Learning Techniques (機器學習技法).mp4 28.1 MB
P51 13-2 Deep Learning --Autoencoder @ Machine Learning Techniques (機器學習技法).mp4 28.1 MB
P38 10-1 Random Forest -- Random Forest Algorithm @ Machine Learning Techniques (機器學習技法).mp4 27.8 MB
P41 10-4 Random Forest -- Random Forest in Action @ Machine Learning Techniques (機器學習技法).mp4 27.7 MB
P36 9-3 Decision Tree -- Decision Tree Heuristics in C&RT @ Machine Learning Techniques (機器學習技法).mp4 27.5 MB
P47 12-2 Neural Network -- Neural Network Hypothesis @ Machine Learning Techniques (機器學習技法).mp4 27.5 MB
P18 5-1 Kernel Logistic Regression -- Soft-Margin SVM as Regularized @ Machine Learning Techniques (機器學習技法).mp4 26.9 MB
P35 9-2 Decision Tree -- Decision Tree Algorithm @ Machine Learning Techniques (機器學習技法).mp4 26.9 MB
P56 14-3 Radial Basis Function Network -- k-Means Algorithm @ Machine Learning Techniques (機器學習技法).mp4 26.6 MB
P29 7-4 Blending and Bagging -- Bagging (Bootstrap Aggregation) @ Machine Learning Techniques (機器學習技法).mp4 25.8 MB
P8 2-3 Dual Support Vector Machine -- Solving Dual SVM @ Machine Learning Techniques (機器學習技法).mp4 25.7 MB
P9 2-4 Dual Support Vector Machine -- Messages behind Dual SVM @ Machine Learning Techniques (機器學習技法).mp4 25.6 MB
P44 11-3 Gradient Boosted Decision Tree -- Gradient Boosting @ Machine Learning Techniques (機器學習技法).mp4 25.4 MB
P65 16-4 Finale -- Machine Learning in Practice @ Machine Learning Techniques (機器學習技法).mp4 25.2 MB
P30 8-1 Adaptive Boosting -- Motivation of Boosting @ Machine Learning Techniques (機器學習技法).mp4 25.0 MB
P12 3-3 Kernel Support Vector Machine -- Gaussian Kernel @ Machine Learning Techniques (機器學習技法).mp4 24.9 MB
P31 8-2 Adaptive Boosting -- Diversity by Re-weighting @ Machine Learning Techniques (機器學習技法).mp4 24.9 MB
P2 1-2 Linear SVM -- Large-Margin Separating Hyperplane @ Machine Learning Techniques (機器學習技法).mp4 24.5 MB
P16 4-3 Soft-Margin Support Vector Machine -- Messages @ Machine Learning Techniques (機器學習技法).mp4 24.5 MB
P13 3-4 Kernel Support Vector Machine -- Comparison of Kernels @ Machine Learning Techniques (機器學習技法).mp4 24.4 MB
P4 1-4 Linear SVM -- Support Vector Machine @ Machine Learning Techniques (機器學習技法).mp4 23.5 MB
P11 3-2 Kernel Support Vector Machine -- Polynomial Kernel @ Machine Learning Techniques (機器學習技法).mp4 22.3 MB
P39 10-2 Random Forest -- Out-of-bag Estimate @ Machine Learning Techniques (機器學習技法).mp4 21.5 MB
P17 4-4 Soft-Margin Support Vector Machine -- Model Selection @ Machine Learning Techniques (機器學習技法).mp4 21.3 MB
P33 8-4 Adaptive Boosting -- Adaptive Boosting in Action @ Machine Learning Techniques (機器學習技法).mp4 20.8 MB
P24 6-3 Support Vector Regression -- Support Vector Regression Dual @ Machine Learning Techniques (機器學習技法).mp4 20.7 MB
P19 5-2 Kernel Logistic Regression -- SVM versus Logistic Regression @ Machine Learning Techniques (機器學習技法).mp4 20.4 MB
P54 14-1 Radial Basis Function Network -- RBF Network Hypothesis @ Machine Learning Techniques (機器學習技法).mp4 20.1 MB
P5 1-5 Linear SVM -- Reasons behind Large-Margin Hyperplane @ Machine Learning Techniques (機器學習技法).mp4 20.0 MB
P32 8-3 Adaptive Boosting -- Adaptive Boosting Algorithm @ Machine Learning Techniques (機器學習技法).mp4 19.7 MB
P60 15-3 Matrix Factorization -- Stochastic Gradient Descent @ Machine Learning Techniques (機器學習技法).mp4 19.5 MB
P20 5-3 Kernel Logistic Regression -- SVM for Soft Binary @ Machine Learning Techniques (機器學習技法).mp4 18.7 MB
P25 6-4 Support Vector Regression -- Summary of Kernel Models @ Machine Learning Techniques (機器學習技法).mp4 18.1 MB
P37 9-4 Decision Tree -- Decision Tree in Action @ Machine Learning Techniques (機器學習技法).mp4 18.0 MB
P61 15-4 Matrix Factorization -- Summary of Extraction Models @ Machine Learning Techniques (機器學習技法).mp4 16.8 MB
P57 14-4 Radial Basis Function Network -- k-Means and RBFNet in Action @ Machine Learning Techniques (機器學習技法).mp4 16.4 MB
P52 13-3 Deep Learning --Denoising Autoencoder @ Machine Learning Techniques (機器學習技法).mp4 14.9 MB
P63 16-2 Finale -- Error Optimization Techniques @ Machine Learning Techniques (機器學習技法).mp4 14.4 MB
P15 4-2 Soft-Margin Support Vector Machine -- Dual Problem @ Machine Learning Techniques (機器學習技法).mp4 11.1 MB
P64 16-3 Finale -- Overfitting Elimination Techniques @ Machine Learning Techniques (機器學習技法).mp4 11.0 MB
P1 1-1 Linear Support Vector Machine (SVM) -- Course Introduction @ Machine Learning Techniques (機器學習技法).mp4 10.6 MB
mltech_handout/208_handout.pdf 5.5 MB
mltech_handout/207_handout.pdf 4.5 MB
mltech_handout/211_handout.pdf 2.7 MB
mltech_handout/210_handout.pdf 2.6 MB
mltech_handout/204_handout.pdf 2.1 MB
mltech_handout/212_handout.pdf 1.3 MB
mltech_handout/201_handout.pdf 1.2 MB
mltech_handout/203_handout.pdf 1.2 MB
mltech_handout/214_handout.pdf 972.5 kB
mltech_handout/206_handout.pdf 770.2 kB
mltech_handout/209_handout.pdf 758.3 kB
mltech_handout/213_handout.pdf 596.8 kB
mltech_handout/202_handout.pdf 592.4 kB
mltech_handout/215_handout.pdf 586.8 kB
mltech_handout/205_handout.pdf 574.2 kB
mltech_handout/216_handout.pdf 469.5 kB

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