机器学习课程

种子大小：4.8 GB

收录时间：2014-12-01

链接操作：点赞1 dmca/举报

磁力链接：

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文件列表：38File

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