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林軒田(Hsuan-Tien Lin) - [機器學習基石]Machine Learning Foundations

  • 收录时间:2019-06-25 00:49:16
  • 文件大小:2GB
  • 下载次数:38
  • 最近下载:2020-12-02 02:56:23
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文件列表

  1. P10 3-1-Learning with Different Output Space @ Machine Learning Foundations (機器學習基石).mp4 65MB
  2. P11 3-2-Learning with Different Data Label @ Machine Learning Foundations (機器學習基石).mp4 59MB
  3. P13 3-4-Learning with Different Input Space @ Machine Learning Foundations (機器學習基石).mp4 47MB
  4. P30 8-1-Noise and Probabilistic Target @ Machine Learning Foundations (機器學習基石).mp4 45MB
  5. P2 1-2-What Is Machine Learning @ Machine Learning Foundations (機器學習基石).mp4 44MB
  6. P46 12-1-Quadratic Hypotheses @ Machine Learning Foundations (機器學習基石).mp4 43MB
  7. P3 1-3-Applications of Machine Learning @ Machine Learning Foundations (機器學習基石).mp4 42MB
  8. P54 14-1-Regularized Hypothesis Set @ Machine Learning Foundations (機器學習基石).mp4 41MB
  9. P55 14-2-Weight Decay Regularization @ Machine Learning Foundations (機器學習基石).mp4 41MB
  10. P19 5-2-Effective Number of Lines @ Machine Learning Foundations (機器學習基石).mp4 41MB
  11. P12 3-3-Learning with Different Protocol @ Machine Learning Foundations (機器學習基石).mp4 40MB
  12. P9 2-4-Non-Separable Data @ Machine Learning Foundations (機器學習基石).mp4 40MB
  13. P58 15-1-Model Selection Problem @ Machine Learning Foundations (機器學習基石).mp4 39MB
  14. P42 11-1-Linear Models for Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 39MB
  15. P18 5-1-Recap and Preview @ Machine Learning Foundations (機器學習基石).mp4 38MB
  16. P16 4-3-Connection to Learning @ Machine Learning Foundations (機器學習基石).mp4 38MB
  17. P17 4-4-Connection to Real Learning @ Machine Learning Foundations (機器學習基石).mp4 38MB
  18. P14 4-1-Learning is Impossible @ Machine Learning Foundations (機器學習基石).mp4 38MB
  19. P41 10-4-Gradient Descent @ Machine Learning Foundations (機器學習基石).mp4 38MB
  20. P52 13-3-Deterministic Noise @ Machine Learning Foundations (機器學習基石).mp4 38MB
  21. P26 7-1-Definition of VC Dimension @ Machine Learning Foundations (機器學習基石).mp4 36MB
  22. P48 12-3-Price of Nonlinear Transform @ Machine Learning Foundations (機器學習基石).mp4 36MB
  23. P36 9-3-Generalization Issue @ Machine Learning Foundations (機器學習基石).mp4 36MB
  24. P63 16-2-Sampling Bias @ Machine Learning Foundations (機器學習基石).mp4 35MB
  25. P25 6-4-A Pictorial Proof @ Machine Learning Foundations (機器學習基石).mp4 34MB
  26. P20 5-3-Effective Number of Hypotheses @ Machine Learning Foundations (機器學習基石).mp4 33MB
  27. P1 1-1-Course Introduction @ Machine Learning Foundations (機器學習基石).mp4 33MB
  28. P51 13-2-The Role of Noise and Data Size @ Machine Learning Foundations (機器學習基石).mp4 33MB
  29. P6 2-1-Perceptron Hypothesis Set @ Machine Learning Foundations (機器學習基石).mp4 33MB
  30. P50 13-1-What is Overfitting @ Machine Learning Foundations (機器學習基石).mp4 32MB
  31. P43 11-2-Stochastic Gradient Descent @ Machine Learning Foundations (機器學習基石).mp4 32MB
  32. P64 16-3-Data Snooping @ Machine Learning Foundations (機器學習基石).mp4 32MB
  33. P4 1-4-Components of Learning @ Machine Learning Foundations (機器學習基石).mp4 32MB
  34. P33 8-4-Weighted Classification @ Machine Learning Foundations (機器學習基石).mp4 32MB
  35. P15 4-2-Probability to the Rescue @ Machine Learning Foundations (機器學習基石).mp4 32MB
  36. P57 14-4-General Regularizers @ Machine Learning Foundations (機器學習基石).mp4 31MB
  37. P22 6-1-Restriction of Break Point @ Machine Learning Foundations (機器學習基石).mp4 30MB
  38. P24 6-3-Bounding Function Inductive Cases @ Machine Learning Foundations (機器學習基石).mp4 30MB
  39. P29 7-4-Interpreting VC Dimension @ Machine Learning Foundations (機器學習基石).mp4 29MB
  40. P61 15-4-V-Fold Cross Validation @ Machine Learning Foundations (機器學習基石).mp4 29MB
  41. P40 10-3-Gradient of Logistic Regression Error @ Machine Learning Foundations (機器學習基石).mp4 28MB
  42. P27 7-2-VC Dimension of Perceptrons @ Machine Learning Foundations (機器學習基石).mp4 27MB
  43. P32 8-3-Algorithmic Error Measure @ Machine Learning Foundations (機器學習基石).mp4 27MB
  44. P35 9-2-Linear Regression Algorithm @ Machine Learning Foundations (機器學習基石).mp4 27MB
  45. P62 16-1-Occam's Razor @ Machine Learning Foundations (機器學習基石).mp4 27MB
  46. P39 10-2-Logistic Regression Error @ Machine Learning Foundations (機器學習基石).mp4 26MB
  47. P34 9-1-Linear Regression Problem @ Machine Learning Foundations (機器學習基石).mp4 26MB
  48. P44 11-3-Multiclass via Logistic Regression @ Machine Learning Foundations (機器學習基石).mp4 26MB
  49. P56 14-3-Regularization and VC Theory @ Machine Learning Foundations (機器學習基石).mp4 26MB
  50. P37 9-4-Linear Regression for Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 26MB
  51. P8 2-3-Guarantee of PLA @ Machine Learning Foundations (機器學習基石).mp4 26MB
  52. P7 2-2-Perceptron Learning Algorithm @ Machine Learning Foundations (機器學習基石).mp4 25MB
  53. P21 5-4-Break Point @ Machine Learning Foundations (機器學習基石).mp4 24MB
  54. P60 15-3-Leave-One-Out Cross Validation @ Machine Learning Foundations (機器學習基石).mp4 23MB
  55. P31 8-2-Error Measure @ Machine Learning Foundations (機器學習基石).mp4 23MB
  56. P53 13-4-Dealing with Overfitting @ Machine Learning Foundations (機器學習基石).mp4 23MB
  57. P38 10-1-Logistic Regression Problem @ Machine Learning Foundations (機器學習基石).mp4 23MB
  58. P59 15-2-Validation @ Machine Learning Foundations (機器學習基石).mp4 22MB
  59. P45 11-4-Multiclass via Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 22MB
  60. P65 16-4-Power of Three @ Machine Learning Foundations (機器學習基石).mp4 21MB
  61. P5 1-5-Machine Learning and Other Fields @ Machine Learning Foundations (機器學習基石).mp4 20MB
  62. P47 12-2-Nonlinear Transform @ Machine Learning Foundations (機器學習基石).mp4 18MB
  63. P49 12-4-Structured Hypothesis Sets @ Machine Learning Foundations (機器學習基石).mp4 17MB
  64. P23 6-2-Bounding Function Basic Cases @ Machine Learning Foundations (機器學習基石).mp4 16MB
  65. P28 7-3-Physical Intuition of VC Dimension @ Machine Learning Foundations (機器學習基石).mp4 15MB
  66. mlfound_handout/01_handout.pdf 6MB
  67. mlfound_handout/16_handout.pdf 5MB
  68. mlfound_handout/04_handout.pdf 2MB
  69. mlfound_handout/12_handout.pdf 1MB
  70. mlfound_handout/15_handout.pdf 1MB
  71. mlfound_handout/08_handout.pdf 938KB
  72. mlfound_handout/14_handout.pdf 878KB
  73. mlfound_handout/13_handout.pdf 818KB
  74. mlfound_handout/03_handout.pdf 816KB
  75. mlfound_handout/02_handout.pdf 800KB
  76. mlfound_handout/09_handout.pdf 799KB
  77. mlfound_handout/11_handout.pdf 605KB
  78. mlfound_handout/06_handout.pdf 557KB
  79. mlfound_handout/10_handout.pdf 526KB
  80. mlfound_handout/07_handout.pdf 487KB
  81. mlfound_handout/05_handout.pdf 446KB