machlearning-001
machlearning-001 metadata, size 5387.60 MB, 115 files, category video, indexed at 2026-08-23.
资源标识
Infohash0cdba976d648fbe322133833323491ebf8b34340
总大小5.3 GB
格式mp4
分类视频
文件数115
发掘时间（北京时间）2026-08-23 10:13:30
最后活跃（北京时间）2026-08-23 10:13:30
下载标识
完整磁力链接
magnet:?xt=urn:btih:0cdba976d648fbe322133833323491ebf8b34340&dn=machlearning-001
迅雷地址
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjBjZGJhOTc2ZDY0OGZiZTMyMjEzMzgzMzMyMzQ5MWViZjhiMzQzNDAmZG49bWFjaGxlYXJuaW5nLTAwMVpa
电驴地址
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Tag
文件列表
| 文件名 | 格式 | 大小 |
|---|---|---|
| 01_Class_Information.mp4 | mp4 | 25.3 MB |
| 02_What_Is_Machine_Learning.mp4 | mp4 | 38.9 MB |
| 03_Applications_of_Machine_Learning.mp4 | mp4 | 39.9 MB |
| 04_Key_Elements_of_Machine_Learning.mp4 | mp4 | 76.6 MB |
| 05_Types_of_Learning.mp4 | mp4 | 61.3 MB |
| 06_Machine_Learning_in_Practice.mp4 | mp4 | 46.5 MB |
| 07_What_Is_Inductive_Learning.mp4 | mp4 | 14.9 MB |
| 08_When_Should_You_Use_Inductive_Learning.mp4 | mp4 | 27.9 MB |
| 09_The_Essence_of_Inductive_Learning.mp4 | mp4 | 99.1 MB |
| 10_A_Framework_for_Studying_Inductive_Learning.mp4 | mp4 | 94.5 MB |
| 01_Decision_Trees.mp4 | mp4 | 41.3 MB |
| 02_What_Can_a_Decision_Tree_Represent.mp4 | mp4 | 27.2 MB |
| 03_Growing_a_Decision_Tree.mp4 | mp4 | 27.1 MB |
| 04_Accuracy_and_Information_Gain.mp4 | mp4 | 86.2 MB |
| 05_Learning_with_Non-Boolean_Features.mp4 | mp4 | 25.4 MB |
| 06_The_Parity_Problem.mp4 | mp4 | 19.1 MB |
| 07_Learning_with_Many-Valued_Attributes.mp4 | mp4 | 22.5 MB |
| 08_Learning_with_Missing_Values.mp4 | mp4 | 37.9 MB |
| 09_The_Overfitting_Problem.mp4 | mp4 | 48.3 MB |
| 10_Decision_Tree_Pruning.mp4 | mp4 | 79.5 MB |
| 11_Post-Pruning_Trees_to_Rules.mp4 | mp4 | 94.4 MB |
| 12_Scaling_Up_Decision_Tree_Learning.mp4 | mp4 | 27.9 MB |
| 01_Rules_vs._Decision_Trees.mp4 | mp4 | 67.2 MB |
| 02_Learning_a_Set_of_Rules.mp4 | mp4 | 50.4 MB |
| 03_Estimating_Probabilities_from_Small_Samples.mp4 | mp4 | 36.5 MB |
| 04_Learning_Rules_for_Multiple_Classes.mp4 | mp4 | 22.7 MB |
| 05_First-Order_Rules.mp4 | mp4 | 45.1 MB |
| 06_Learning_First-Order_Rules_Using_FOIL.mp4 | mp4 | 97.3 MB |
| 07_Induction_as_Inverted_Deduction.mp4 | mp4 | 74.6 MB |
| 08_Inverting_Propositional_Resolution.mp4 | mp4 | 63.9 MB |
| 09_Inverting_First-Order_Resolution.mp4 | mp4 | 86.7 MB |
| 01_The_K-Nearest_Neighbor_Algorithm.mp4 | mp4 | 69.2 MB |
| 02_Theoretical_Guarantees_on_k-NN.mp4 | mp4 | 43.2 MB |
| 03_Distance-Weighted_k-NN.mp4 | mp4 | 12.0 MB |
| 04_The_Curse_of_Dimensionality.mp4 | mp4 | 58.7 MB |
| 05_Feature_Selection_and_Weighting.mp4 | mp4 | 47.8 MB |
| 06_Reducing_the_Computational_Cost_of_k-NN.mp4 | mp4 | 44.8 MB |
| 07_Avoiding_Overfitting_in_k-NN.mp4 | mp4 | 26.2 MB |
| 08_Locally_Weighted_Regression.mp4 | mp4 | 20.0 MB |
| 09_Radial_Basis_Function_Networks.mp4 | mp4 | 13.3 MB |
| 10_Case-Based_Reasoning.mp4 | mp4 | 16.0 MB |
| 11_Lazy_vs._Eager_Learning.mp4 | mp4 | 11.3 MB |
| 12_Collaborative_Filtering.mp4 | mp4 | 70.5 MB |
| 01_Bayesian_Methods.mp4 | mp4 | 20.5 MB |
| 02_Bayes_Theorem_and_MAP_Hypotheses.mp4 | mp4 | 102.3 MB |
| 03_Basic_Probability_Formulas.mp4 | mp4 | 24.0 MB |
| 04_MAP_Learning.mp4 | mp4 | 57.7 MB |
| 05_Learning_a_Real-Valued_Function.mp4 | mp4 | 43.5 MB |
| 06_Bayes_Optimal_Classifier_and_Gibbs_Classifier.mp4 | mp4 | 40.4 MB |
| 07_The_Naive_Bayes_Classifier.mp4 | mp4 | 102.4 MB |
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