北京大学：《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（PPT课件）并行与分布式系统基础 Introduction to Distributed Systems

北京大学：《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（PPT课件）Clustering问题 Clustering

Last Course Review & Reading Check Document Retrieval &Inverted Index PageRank Algorithm

Functional Language and MapReduce MapReduce Basic MapReduce Algorithm Design Hadoop and Java Practice

北京大学：《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（PPT课件）MapReduce原理 MapReduce Theory and Practice

1 Introduction Problem Definition Existing Methods 2 Isotropic Hashing Model Learning Experiment 3 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 4 Conclusion 5 Reference

1 Introduction 2 MapReduce Basics 3 MapReduce algorithm design 4 Inverted Indexing for Text Retrieval 5 Graph Algorithms 6 EM Algorithms for Text Processing 7 Closing Remarks

《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（阅读材料）MapReduce——Simplified Data Processing on Large Clusters

《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（阅读材料）The Google File System（GFS）

《大规模数据处理——云计算 Mass Data Processing Cloud Computing》课程教学资源（阅读材料）k-means++——The Advantages of Careful Seeding