domingos - 磁力狗 - 最好用的磁力种子搜索引擎

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01 Introduction & Inductive learning/10. A Framework for Studying Inductive Learning.mp4 211.6 MB
05 Bayesian Learning/2. Bayes' Theorem and MAP Hypotheses.mp4 202.6 MB
05 Bayesian Learning/7. The Naive Bayes Classifier.mp4 196.1 MB
03 Rule Induction/6. Learning First Order Rules Using FOIL.mp4 196.0 MB
01 Introduction & Inductive learning/9. The Essence of Inductive Learning.mp4 191.4 MB
05 Bayesian Learning/9. Bayesian Networks.mp4 177.9 MB
04 Instance-Based Learning/1. The K-Nearest Neighbor Algorithm.mp4 158.4 MB
02 Decision Trees/11. Post Pruning Trees to Rules.mp4 156.5 MB
03 Rule Induction/9. Inverting First Order Resolution.mp4 156.3 MB
04 Instance-Based Learning/12. Collaborative Filtering.mp4 156.0 MB
09 Support Vector Machine/9. Constrained Optimization.mp4 147.6 MB
06 Neural Networks/5. Learning Bayesian Network Structure.mp4 146.9 MB
02 Decision Trees/4. Accuracy and Information Gain.mp4 146.7 MB
01 Introduction & Inductive learning/4. Key Elements of Machine Learning.mp4 145.1 MB
03 Rule Induction/7. Induction as Inverted Deduction.mp4 139.4 MB
02 Decision Trees/10. Decision Tree Pruning.mp4 138.7 MB
04 Instance-Based Learning/4. The Curse of Dimensionality.mp4 134.5 MB
09 Support Vector Machine/7. Kernels.mp4 130.0 MB
07 Model Ensembles/6. Issues in Backpropagation.mp4 126.7 MB
09 Support Vector Machine/8. Learning SVMs.mp4 123.3 MB