[{"title":"( 15 个子文件 147.39MB ) 南京大学《高级机器学习》.rar","children":[{"title":"南京大学《高级机器学习》","children":[{"title":"Lecture5 Clustering.pdf <span style='color:#111;'> 5.74MB </span>","children":null,"spread":false},{"title":"Lecture6 Dimension Reduction.pdf <span style='color:#111;'> 8.76MB </span>","children":null,"spread":false},{"title":"Lecture7 Feature Selection.pdf <span style='color:#111;'> 2.19MB </span>","children":null,"spread":false},{"title":"Lecture3 Linear Model、Support Vector Machine、Neural Network、Decision Tree、Bayesian Model","children":[{"title":"Lecture03A.pdf <span style='color:#111;'> 9.03MB </span>","children":null,"spread":false},{"title":"Lecture03D.pdf <span style='color:#111;'> 4.53MB </span>","children":null,"spread":false},{"title":"Lecture03E.pdf <span style='color:#111;'> 5.31MB </span>","children":null,"spread":false},{"title":"Lecture03B.pdf <span style='color:#111;'> 4.18MB </span>","children":null,"spread":false},{"title":"Lecture03C.pdf <span style='color:#111;'> 19.37MB </span>","children":null,"spread":false}],"spread":true},{"title":"Lecture1 Introduction.pdf <span style='color:#111;'> 48.04MB </span>","children":null,"spread":false},{"title":"Lecture10 Graphical Model.pdf <span style='color:#111;'> 12.95MB </span>","children":null,"spread":false},{"title":"Lecture2 Model selection.pdf <span style='color:#111;'> 6.19MB </span>","children":null,"spread":false},{"title":"Lecture8 Semi-Supervised Learning.pdf <span style='color:#111;'> 23.82MB </span>","children":null,"spread":false},{"title":"Lecture11 Reinforcement Learning.pdf <span style='color:#111;'> 1.50MB </span>","children":null,"spread":false},{"title":"Lecture4 Ensemble Learning.pdf <span style='color:#111;'> 16.57MB </span>","children":null,"spread":false},{"title":"Lecture9 Multi-Label Learning.pdf <span style='color:#111;'> 40.71MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]