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[{"title":"Matrix Factorization","date":"2019-05-23T15:14:16.000Z","path":"2019/05/23/Matrix-Factorization/","tags":[]},{"title":"RBF NetWork","date":"2019-05-22T07:36:36.000Z","path":"2019/05/22/RBF-NetWork/","tags":[]},{"title":"Tree Model","date":"2019-04-25T02:10:33.000Z","path":"2019/04/25/Tree-Model/","tags":[]},{"title":"Non-Linear SVM","date":"2019-03-27T03:28:44.000Z","path":"2019/03/27/SVMTwo/","tags":[]},{"title":"Linear Model","date":"2019-03-09T12:50:16.000Z","path":"2019/03/09/Linear-Model/","tags":[]},{"title":"Noise And Error","date":"2019-02-23T14:16:21.000Z","path":"2019/02/23/Noise-And-Error/","tags":[]},{"title":"Distributed Machine Learning Introduction","date":"2019-02-21T05:58:47.000Z","path":"2019/02/21/Distributed-Machine-Learning/","tags":[]},{"title":"Overfitting and Solutions","date":"2019-02-17T09:24:22.000Z","path":"2019/02/17/神经网络优化/","tags":[]},{"title":"VC Dimension","date":"2019-01-23T01:32:34.000Z","path":"2019/01/23/VC-Dimension-II/","tags":[]},{"title":"VC Bound","date":"2018-11-19T14:29:01.000Z","path":"2018/11/19/VCDimension/","tags":[]},{"title":"Feasibility of Learning","date":"2018-11-11T14:58:45.000Z","path":"2018/11/11/LearningFeasibility/","tags":[]},{"title":"Ensemble","date":"2018-10-27T06:48:25.000Z","path":"2018/10/27/Ensemble/","tags":[]},{"title":"StreamingCluster","date":"2018-10-24T08:59:19.000Z","path":"2018/10/24/StreamingCluster/","tags":[]},{"title":"Mining Data Stream Techniques","date":"2018-10-23T02:03:29.000Z","path":"2018/10/23/Mining-Data-Stream-Techniques/","tags":[]},{"title":"Linear SVM","date":"2018-10-14T13:36:17.000Z","path":"2018/10/14/SVM/","tags":[]},{"title":"Lookup additional data in Spark Streaming","date":"2018-09-28T01:43:13.000Z","path":"2018/09/28/lookup/","tags":[]},{"title":"Stateful Stream","date":"2018-09-23T15:01:50.000Z","path":"2018/09/23/statefulstream/","tags":[]},{"title":"Transfer Learning","date":"2018-09-23T07:40:17.000Z","path":"2018/09/23/Transfer-Learning/","tags":[]},{"title":"Embedding","date":"2018-09-10T12:32:24.000Z","path":"2018/09/10/Embedding/","tags":[]},{"title":"Generation","date":"2018-08-30T13:06:34.000Z","path":"2018/08/30/Generation/","tags":[]},{"title":"PCA","date":"2018-08-16T11:37:43.000Z","path":"2018/08/16/PCA/","tags":[]},{"title":"Clustering by fast search and find of density peaks","date":"2018-08-12T11:35:48.000Z","path":"2018/08/12/ClusteringByDensity/","tags":[]},{"title":"Semi-supervid Learning","date":"2018-07-26T02:02:26.000Z","path":"2018/07/26/半监督学习/","tags":[]},{"title":"基于题库数据的难度和知识点分类模型","date":"2018-07-19T05:26:55.000Z","path":"2018/07/19/基于题库数据的难度和知识点分类模型/","tags":[]},{"title":"Convolutional Neural Network","date":"2018-07-08T11:48:16.000Z","path":"2018/07/08/卷积神经网络-CNN/","tags":[]},{"title":"数据库概述","date":"2018-07-02T09:40:11.000Z","path":"2018/07/02/数据库概述/","tags":[]},{"title":"DeepLearning Introduction","date":"2018-06-26T13:44:31.000Z","path":"2018/06/26/深度学习DeepLearning介绍/","tags":[]},{"title":"Logistic Regression","date":"2018-06-20T12:37:59.000Z","path":"2018/06/20/逻辑回归Logistic-Regression/","tags":[]},{"title":"Classification","date":"2018-06-16T02:40:05.000Z","path":"2018/06/16/分类Classification/","tags":[]},{"title":"Gradient Descent","date":"2018-05-31T09:24:48.000Z","path":"2018/05/31/Gradient-Descent/","tags":[]},{"title":"Bias-Variance Decompostion","date":"2018-05-23T12:03:21.000Z","path":"2018/05/23/偏差方差分解/","tags":[]},{"title":"Regression","date":"2018-05-22T13:22:11.000Z","path":"2018/05/22/回归Regression/","tags":[]}]