[{"title":"( 17 个子文件 21.2MB ) 数据挖掘 蔡登 课程课件 浙江大学","children":[{"title":"04_Bayesian.pdf <span style='color:#111;'> 674.86KB </span>","children":null,"spread":false},{"title":"12_TopicModel.pdf <span style='color:#111;'> 1.29MB </span>","children":null,"spread":false},{"title":"01_Intro.pdf <span style='color:#111;'> 891.30KB </span>","children":null,"spread":false},{"title":"02_Intro.pdf <span style='color:#111;'> 2.86MB </span>","children":null,"spread":false},{"title":"11_DimensionReduction.pdf <span style='color:#111;'> 1.54MB </span>","children":null,"spread":false},{"title":"07_Linear&Online.pdf <span style='color:#111;'> 1.77MB </span>","children":null,"spread":false},{"title":"15_Clustering-Kmeans.pdf <span style='color:#111;'> 942.73KB </span>","children":null,"spread":false},{"title":"17_Clustering-Spectral.pdf <span style='color:#111;'> 1.02MB </span>","children":null,"spread":false},{"title":"07_Linear&Regression.pdf <span style='color:#111;'> 2.01MB </span>","children":null,"spread":false},{"title":"06_DecisionTrees.pdf <span style='color:#111;'> 810.00KB </span>","children":null,"spread":false},{"title":"03_Bayesian.pdf <span style='color:#111;'> 2.57MB </span>","children":null,"spread":false},{"title":"14_MatrixFactorization.pdf <span style='color:#111;'> 1.61MB </span>","children":null,"spread":false},{"title":"07_Linear&SVM.pdf <span style='color:#111;'> 919.48KB </span>","children":null,"spread":false},{"title":"13_EM.pdf <span style='color:#111;'> 1.09MB </span>","children":null,"spread":false},{"title":"05_NaiveBayes.pdf <span style='color:#111;'> 920.65KB </span>","children":null,"spread":false},{"title":"16_Clustering-GMM.pdf <span style='color:#111;'> 723.32KB </span>","children":null,"spread":false},{"title":"10_NeuralNetworks.pdf <span style='color:#111;'> 1.67MB </span>","children":null,"spread":false}],"spread":true}]