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Machine Learning CALTECH

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文件列表

  1. Lecture 09 - The Linear Model II (May 1, 2012).mp4 207MB
  2. Lecture 13 - Validation (May 15, 2012).mp4 205MB
  3. Lecture 01 - The Learning Problem (April 3, 2012).mp4 201MB
  4. Lecture 10 - Neural Networks (May 3, 2012).mp4 193MB
  5. Lecture 15 - Kernel Methods (May 22, 2012).mp4 188MB
  6. Lecture 17 - Three Learning Principles (May 29, 2012).mp4 186MB
  7. Lecture 05 - Training Versus Testing (April 17, 2012).mp4 186MB
  8. Lecture 02 - Is Learning Feasible (April 5, 2012).mp4 185MB
  9. Lecture 11 - Overfitting (May 8, 2012).mp4 185MB
  10. Lecture 16 - Radial Basis Functions (May 24, 2012).mp4 183MB
  11. Lecture 06 - Theory of Generalization (April 19, 2012).mp4 182MB
  12. Lecture 14 - Support Vector Machines (May 17, 2012).mp4 178MB
  13. Lecture 18 - Epilogue (May 31, 2012).mp4 176MB
  14. Lecture 08 - Bias-Variance Tradeoff (April 26, 2012).mp4 176MB
  15. Lecture 03 -The Linear Model I (April 10, 2012).mp4 175MB
  16. Lecture 12 - Regularization (May 10, 2012).mp4 174MB
  17. Lecture 07 - The VC Dimension (April 24, 2012).mp4 168MB
  18. Lecture 04 - Error and Noise (April 12, 2012).mp4 148MB
  19. Slides/iTunesU_Lecture03_April_10.pdf 1MB
  20. Slides/iTunesU_Lecture04_April_12.pdf 992KB
  21. Slides/iTunesU_Lecture11_May_08.pdf 744KB
  22. Slides/iTunesU_Lecture13_May_15.pdf 739KB
  23. Slides/iTunesU_Lecture09_May_01.pdf 728KB
  24. Slides/iTunesU_Lecture12_May_10.pdf 629KB
  25. Slides/iTunesU_Lecture02_April_05.pdf 515KB
  26. Slides/iTunesU_Lecture05_April_17.pdf 497KB
  27. Slides/iTunesU_Lecture15_May_22.pdf 478KB
  28. Slides/iTunesU_Lecture17_May_29.pdf 439KB
  29. Slides/iTunesU_Lecture07_April_24.pdf 409KB
  30. Slides/iTunesU_Lecture10_May_03.pdf 391KB
  31. Slides/iTunesU_Lecture08_April_26.pdf 365KB
  32. Slides/iTunesU_Lecture06_April_19.pdf 296KB
  33. Slides/iTunesU_Lecture01_April_03.pdf 294KB
  34. Slides/iTunesU_Lecture18_May_31.pdf 243KB
  35. Slides/iTunesU_Lecture14_May_17.pdf 243KB