http://blog.csdn.net/pipisorry/article/details/49445465 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记 大规模机器学习之决策树Decision Trees {博客内容:Decision Trees.  This is one of the oldest forms of machine-learning, but there are issues that com…
http://blog.csdn.net/pipisorry/article/details/49445519 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记 大规模机器学习之MapReduce算法 {博客内容:MapReduce Algorithms.  how to design a good algorithm to run under MapReduce.  They also discuss the limi…
http://blog.csdn.net/pipisorry/article/details/49445387 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记 大规模机器学习之支持向量机Support-Vector Machines,SVM {博客内容:the most powerful techniques available for large-scale machine learning.支持向量机主要应用于非线…
http://blog.csdn.net/pipisorry/article/details/49686913 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记 相似项的发现:局部敏感哈希(LSH, Locality-Sensitive Hashing) {博客内容:More about Locality-Sensitive Hashing:在海量数据挖掘MMDS week2: 局部敏感哈希Locality-Sensit…
http://blog.csdn.net/pipisorry/article/details/49052255 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记之社交网络之社区检测:高级技巧-线性代数方法 Communities in Social Networks:  Intuitively, "communities" are sets of individuals in a network like Fa…
http://blog.csdn.net/pipisorry/article/details/48858661 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记之 Locality-Sensitive Hashing(LSH) 局部敏感哈希 {This is the first half of discussion of a powerful technique for focusing search on things…
http://blog.csdn.net/pipisorry/article/details/49742907 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记 相似项的发现:面向高相似度的方法 {博客内容:More about Locality-Sensitive Hashing:当所能接受的相似度较低时,基于LSH的方法表现得更为有效.但当要找几乎相等的集合时,还存在一些更快的方法,并且这些方法是精准的,即它们会找到…
http://blog.csdn.net/pipisorry/article/details/49428053 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记 计算广告Computational Advertising {博客内容:Computational Advertising.  The problem is to select ads to show with other information, typica…
http://blog.csdn.net/pipisorry/article/details/49427989 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记 推荐系统Recommendation System之隐语义模型latent semantic analysis {博客内容:Clustering.  The problem is to take large numbers of points and group…
http://blog.csdn.net/pipisorry/article/details/49256457 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记 推荐系统Recommendation System之隐语义模型latent semantic analysis {博客内容:推荐系统构建三大方法:基于内容的推荐content-based,协同过滤collaborative filtering,隐语义模型(LFM…