Index of /~peidan/ANM2018/3.MachineLearningBasics/LectureCoverage/
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1.correlation-regression.pdf 17-Sep-2018 12:21 1552501
10.NearestNeighbor.pdf 17-Sep-2018 12:21 473980
11.DTW.pdf 17-Sep-2018 12:21 2747853
12.Clustering.pdf 17-Sep-2018 12:21 2030515
13.NeuralNetworks.pdf 17-Sep-2018 12:21 17556540
14.Regularization.pdf 17-Sep-2018 12:21 2089269
15.SVM.pdf 17-Sep-2018 12:21 1650863
16.LearningFromText.pdf 17-Sep-2018 12:21 617481
17.MIL.pdf 12-May-2018 03:07 2319188
17.transfer_learning.pdf 17-Sep-2018 12:21 1920649
18.BoostedTree.pdf 17-Sep-2018 12:21 1435888
18.transfer_learning.pdf 12-May-2018 03:07 1920649
18.xgboost.pdf 17-Sep-2018 12:21 4625887
19.DeepSequenceMIT.pdf 17-Sep-2018 12:21 899465
2.InformationGain_DecisionTree.pdf 17-Sep-2018 12:21 2080263
20.DeepReinforcementLearningMIT.pdf 17-Sep-2018 12:21 4727591
3.FeatureSelection.pdf 17-Sep-2018 12:21 426115
4.orange_demo.mov 17-Sep-2018 12:21 287471448
5.randomforest.pdf 17-Sep-2018 12:21 2725085
6.Accuracy_CV_Overfitting.pdf 17-Sep-2018 12:21 3234823
7.AssociationRuleMining.pptx 17-Sep-2018 12:21 2845482
8.occams_razor.pdf 17-Sep-2018 12:21 235324
9.MCTS_tutorial.pdf 17-Sep-2018 12:21 1737980