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Mining of Massive Datasets

Mining of Massive Datasets by Anand Rajaraman, Jeffrey David Ullman
C..dge U..ty | ISBN: 1107015359 | 2012 | PDF | 326 pages | 2,1 MB

The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing.
Top 78 Essential Mac Applications
Top 78 Essential Mac Applications
The compiled an exhaustive list of 78 Mac Applications that I frequently use. Some of them are free applications and some are paid softwares for which are included the cracked versions.
Contains all of the best applications for you to use. Very useful for New Mac Users