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机器学习课程

机器学习课程

种子大小：4.8 GB

收录时间：2014-12-01

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文件列表：38File

  1. 19 learning_on_the_web.mp4332.96 MB
  2. 16 transfer_learning_and_semi_supervised_learning.mp4329.54 MB
  3. 1 Introduction_to_ML_and_review_of_linear_algebra__probability__statistics.mp4307.28 MB
  4. 15 feature_learning_and_deep_learning.mp4292.79 MB
  5. 18 learning_on_images.mp4290.9 MB
  6. 2 linear_model.mp4289.19 MB
  7. 10 optimization_in_machine_learning.mp4281.58 MB
  8. 17 matrix_factorization_and_recommendations.mp4267.69 MB
  9. 4 linear_classification.mp4255.5 MB
  10. 7 model_combination.mp4252.2 MB
  11. 13 introduction_to_graphical_models.mp4249.06 MB
  12. 3 overfitting_and_regularization.mp4243.43 MB
  13. 12 sparsity_models.mp4237.86 MB
  14. 5 basis_expansion_and_kernel_methods.mp4232.25 MB
  15. 9 overview_of_learning_theory.mp4227.57 MB
  16. 14 structured_learning.mp4213.1 MB
  17. 8 boosting_and_bagging.mp4209.73 MB
  18. 11 online_learning.mp4207.82 MB
  19. 6 model_selection_and_evaluation.mp4135.64 MB
  20. 1 Introduction_to_ML_and_review_of_linear_algebra__probability__statistics_(kai).pdf15.51 MB
  21. 18 learning_on_images_(kai).pdf12.79 MB
  22. 15 feature_learning_and_deep_learning_(kai).pdf11.18 MB
  23. 16 transfer_learning_and_semi_supervised_learning_(kai).pdf6.21 MB
  24. 17 matrix_factorization_and_recommendations_(kai).pdf3.64 MB
  25. 13 introduction_to_graphical_models_(kai).pdf2.17 MB
  26. 12 sparsity_models_(tong).pdf1.9 MB
  27. 5 basis_expansion_and_kernel_methods_(kai).pdf1.82 MB
  28. 4 linear_classification_(kai).pdf1.04 MB
  29. 14 structured_learning_(kai).pdf790.95 KB
  30. 6 model_selection_and_evaluation_(kai).pdf680.51 KB
  31. 2 linear_model_(tong).pdf457.35 KB
  32. 19 learning_on_the_web_(tong).pdf181.14 KB
  33. 9 overview_of_learning_theory_(tong).pdf164.63 KB
  34. 8 boosting_and_bagging_(tong).pdf152.26 KB
  35. 7 model_combination_(tong).pdf147.69 KB
  36. 10 optimization_in_machine_learning_(tong).pdf139.65 KB
  37. 11 online_learning_(tong).pdf134.3 KB
  38. 3 overfitting_and_regularization_(tong).pdf129.08 KB
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