机器学习课程
- Seeders:7
- Leechers:22
- Completed:85
- File size:4.80 GB
- Date:2014-12-01
Files
- 19 learning_on_the_web.mp4(332.96 MB)
- 16 transfer_learning_and_semi_supervised_learning.mp4(329.54 MB)
- 1 Introduction_to_ML_and_review_of_linear_algebra__probability__statistics.mp4(307.28 MB)
- 15 feature_learning_and_deep_learning.mp4(292.79 MB)
- 18 learning_on_images.mp4(290.9 MB)
- 2 linear_model.mp4(289.19 MB)
- 10 optimization_in_machine_learning.mp4(281.58 MB)
- 17 matrix_factorization_and_recommendations.mp4(267.69 MB)
- 4 linear_classification.mp4(255.5 MB)
- 7 model_combination.mp4(252.2 MB)
- 13 introduction_to_graphical_models.mp4(249.06 MB)
- 3 overfitting_and_regularization.mp4(243.43 MB)
- 12 sparsity_models.mp4(237.86 MB)
- 5 basis_expansion_and_kernel_methods.mp4(232.25 MB)
- 9 overview_of_learning_theory.mp4(227.57 MB)
- 14 structured_learning.mp4(213.1 MB)
- 8 boosting_and_bagging.mp4(209.73 MB)
- 11 online_learning.mp4(207.82 MB)
- 6 model_selection_and_evaluation.mp4(135.64 MB)
- 1 Introduction_to_ML_and_review_of_linear_algebra__probability__statistics_(kai).pdf(15.51 MB)
- 18 learning_on_images_(kai).pdf(12.79 MB)
- 15 feature_learning_and_deep_learning_(kai).pdf(11.18 MB)
- 16 transfer_learning_and_semi_supervised_learning_(kai).pdf(6.21 MB)
- 17 matrix_factorization_and_recommendations_(kai).pdf(3.64 MB)
- 13 introduction_to_graphical_models_(kai).pdf(2.17 MB)
- 12 sparsity_models_(tong).pdf(1.9 MB)
- 5 basis_expansion_and_kernel_methods_(kai).pdf(1.82 MB)
- 4 linear_classification_(kai).pdf(1.04 MB)
- 14 structured_learning_(kai).pdf(790.95 KB)
- 6 model_selection_and_evaluation_(kai).pdf(680.51 KB)
- 2 linear_model_(tong).pdf(457.35 KB)
- 19 learning_on_the_web_(tong).pdf(181.14 KB)
- 9 overview_of_learning_theory_(tong).pdf(164.63 KB)
- 8 boosting_and_bagging_(tong).pdf(152.26 KB)
- 7 model_combination_(tong).pdf(147.69 KB)
- 10 optimization_in_machine_learning_(tong).pdf(139.65 KB)
- 11 online_learning_(tong).pdf(134.3 KB)
- 3 overfitting_and_regularization_(tong).pdf(129.08 KB)