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林轩田-机器学习技法

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视频 2019-4-10 23:58 2024-9-18 08:25 38 1.62 GB 65
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林轩田-机器学习技法

文件列表
  1. P53 13-4 Deep Learning -- Principal Component Analysis @ Machine Learning Techniques (機器學習技法).mp443.28MB
  2. P50 13-1 Deep Learning -- Deep Neural Network @ Machine Learning Techniques (機器學習技法).mp441.7MB
  3. P10 3-1 Kernel Support Vector Machine -- Kernel Trick @ Machine Learning Techniques (機器學習技法).mp439.24MB
  4. P46 12-1 Neural Network -- Motivation @ Machine Learning Techniques (機器學習技法).mp437.75MB
  5. P26 7-1 Blending and Bagging -- Motivation of Aggregation @ Machine Learning Techniques (機器學習技法).mp437.45MB
  6. P34 9-1 Decision Tree -- Decision Tree Hypothesis @ Machine Learning Techniques (機器學習技法).mp436.81MB
  7. P43 11-2 Gradient Boosted Decision Tree -- Optimization of AdaBoost @ Machine Learning Techniques (機器學習技法).mp436.11MB
  8. P3 1-3 Linear SVM -- Standard Large-Margin Problem @ Machine Learning Techniques (機器學習技法).mp436.02MB
  9. P6 2-1 Dual Support Vector Machine -- Motivation of Dual SVM @ Machine Learning Techniques (機器學習技法).mp434MB
  10. P40 10-3 Random Forest -- Feature Selection @ Machine Learning Techniques (機器學習技法).mp433.55MB
  11. P62 16-1 Finale -- Feature Exploitation Techniques @ Machine Learning Techniques (機器學習技法).mp433.13MB
  12. P27 7-2 Blending and Bagging -- Uniform Blending @ Machine Learning Techniques (機器學習技法).mp432.98MB
  13. P7 2-2 Dual Support Vector Machine -- Largange Dual SVM @ Machine Learning Techniques (機器學習技法).mp431.95MB
  14. P49 12-4 Neural Network -- Optimization and Regularization @ Machine Learning Techniques (機器學習技法).mp431.44MB
  15. P23 6-2 Support Vector Regression -- Support Vector Regression Primal @ Machine Learning Techniques (機器學習技法).mp431.33MB
  16. P48 12-3 Neural Network -- Neural Network Learning @ Machine Learning Techniques (機器學習技法).mp430.78MB
  17. P22 6-1 Support Vector Regression -- Kernel Ridge Regression @ Machine Learning Techniques (機器學習技法).mp430.28MB
  18. P58 15-1 Matrix Factorization -- Linear Network Hypothesis @ Machine Learning Techniques (機器學習技法).mp429.65MB
  19. P28 7-3 Blending and Bagging -- Linear and Any Blending @ Machine Learning Techniques (機器學習技法).mp429.43MB
  20. P42 11-1 Gradient Boosted Decision Tree -- AdaBoost Decision Tree @ Machine Learning Techniques (機器學習技法).mp429.3MB
  21. P14 4-1 Soft-Margin Support Vector Machine -- Motivation and Primal @ Machine Learning Techniques (機器學習技法).mp429.2MB
  22. P21 5-4 Kernel Logistic Regression -- Kernel Logistic Regression @ Machine Learning Techniques (機器學習技法).mp428.69MB
  23. P55 14-2 Radial Basis Function Network -- RBF Network Learning @ Machine Learning Techniques (機器學習技法).mp428.58MB
  24. P45 11-4 Gradient Boosted Decision Tree -- Summary of Aggregation @ Machine Learning Techniques (機器學習技法).mp428.48MB
  25. P59 15-2 Matrix Factorization -- Basic Matrix Factorization @ Machine Learning Techniques (機器學習技法).mp426.82MB
  26. P51 13-2 Deep Learning --Autoencoder @ Machine Learning Techniques (機器學習技法).mp426.8MB
  27. P38 10-1 Random Forest -- Random Forest Algorithm @ Machine Learning Techniques (機器學習技法).mp426.53MB
  28. P41 10-4 Random Forest -- Random Forest in Action @ Machine Learning Techniques (機器學習技法).mp426.42MB
  29. P36 9-3 Decision Tree -- Decision Tree Heuristics in C&RT @ Machine Learning Techniques (機器學習技法).mp426.24MB
  30. P47 12-2 Neural Network -- Neural Network Hypothesis @ Machine Learning Techniques (機器學習技法).mp426.22MB
  31. P18 5-1 Kernel Logistic Regression -- Soft-Margin SVM as Regularized @ Machine Learning Techniques (機器學習技法).mp425.68MB
  32. P35 9-2 Decision Tree -- Decision Tree Algorithm @ Machine Learning Techniques (機器學習技法).mp425.64MB
  33. P56 14-3 Radial Basis Function Network -- k-Means Algorithm @ Machine Learning Techniques (機器學習技法).mp425.36MB
  34. P29 7-4 Blending and Bagging -- Bagging (Bootstrap Aggregation) @ Machine Learning Techniques (機器學習技法).mp424.57MB
  35. P8 2-3 Dual Support Vector Machine -- Solving Dual SVM @ Machine Learning Techniques (機器學習技法).mp424.54MB
  36. P9 2-4 Dual Support Vector Machine -- Messages behind Dual SVM @ Machine Learning Techniques (機器學習技法).mp424.4MB
  37. P44 11-3 Gradient Boosted Decision Tree -- Gradient Boosting @ Machine Learning Techniques (機器學習技法).mp424.24MB
  38. P65 16-4 Finale -- Machine Learning in Practice @ Machine Learning Techniques (機器學習技法).mp424.02MB
  39. P30 8-1 Adaptive Boosting -- Motivation of Boosting @ Machine Learning Techniques (機器學習技法).mp423.82MB
  40. P12 3-3 Kernel Support Vector Machine -- Gaussian Kernel @ Machine Learning Techniques (機器學習技法).mp423.74MB
  41. P31 8-2 Adaptive Boosting -- Diversity by Re-weighting @ Machine Learning Techniques (機器學習技法).mp423.73MB
  42. P2 1-2 Linear SVM -- Large-Margin Separating Hyperplane @ Machine Learning Techniques (機器學習技法).mp423.35MB
  43. P16 4-3 Soft-Margin Support Vector Machine -- Messages @ Machine Learning Techniques (機器學習技法).mp423.34MB
  44. P13 3-4 Kernel Support Vector Machine -- Comparison of Kernels @ Machine Learning Techniques (機器學習技法).mp423.24MB
  45. P4 1-4 Linear SVM -- Support Vector Machine @ Machine Learning Techniques (機器學習技法).mp422.38MB
  46. P11 3-2 Kernel Support Vector Machine -- Polynomial Kernel @ Machine Learning Techniques (機器學習技法).mp421.31MB
  47. P39 10-2 Random Forest -- Out-of-bag Estimate @ Machine Learning Techniques (機器學習技法).mp420.49MB
  48. P17 4-4 Soft-Margin Support Vector Machine -- Model Selection @ Machine Learning Techniques (機器學習技法).mp420.31MB
  49. P33 8-4 Adaptive Boosting -- Adaptive Boosting in Action @ Machine Learning Techniques (機器學習技法).mp419.82MB
  50. P24 6-3 Support Vector Regression -- Support Vector Regression Dual @ Machine Learning Techniques (機器學習技法).mp419.74MB
  51. P19 5-2 Kernel Logistic Regression -- SVM versus Logistic Regression @ Machine Learning Techniques (機器學習技法).mp419.49MB
  52. P54 14-1 Radial Basis Function Network -- RBF Network Hypothesis @ Machine Learning Techniques (機器學習技法).mp419.2MB
  53. P5 1-5 Linear SVM -- Reasons behind Large-Margin Hyperplane @ Machine Learning Techniques (機器學習技法).mp419.04MB
  54. P32 8-3 Adaptive Boosting -- Adaptive Boosting Algorithm @ Machine Learning Techniques (機器學習技法).mp418.81MB
  55. P60 15-3 Matrix Factorization -- Stochastic Gradient Descent @ Machine Learning Techniques (機器學習技法).mp418.58MB
  56. P20 5-3 Kernel Logistic Regression -- SVM for Soft Binary @ Machine Learning Techniques (機器學習技法).mp417.84MB
  57. P25 6-4 Support Vector Regression -- Summary of Kernel Models @ Machine Learning Techniques (機器學習技法).mp417.3MB
  58. P37 9-4 Decision Tree -- Decision Tree in Action @ Machine Learning Techniques (機器學習技法).mp417.14MB
  59. P61 15-4 Matrix Factorization -- Summary of Extraction Models @ Machine Learning Techniques (機器學習技法).mp416.05MB
  60. P57 14-4 Radial Basis Function Network -- k-Means and RBFNet in Action @ Machine Learning Techniques (機器學習技法).mp415.63MB
  61. P52 13-3 Deep Learning --Denoising Autoencoder @ Machine Learning Techniques (機器學習技法).mp414.18MB
  62. P63 16-2 Finale -- Error Optimization Techniques @ Machine Learning Techniques (機器學習技法).mp413.78MB
  63. P15 4-2 Soft-Margin Support Vector Machine -- Dual Problem @ Machine Learning Techniques (機器學習技法).mp410.61MB
  64. P64 16-3 Finale -- Overfitting Elimination Techniques @ Machine Learning Techniques (機器學習技法).mp410.45MB
  65. P1 1-1 Linear Support Vector Machine (SVM) -- Course Introduction @ Machine Learning Techniques (機器學習技法).mp410.11MB
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