Posted by **naag** at March 24, 2017

English | 2015 | ISBN: 1482240556 | 486 pages | EPUB | 3 MB

Posted by **AlenMiler** at Aug. 9, 2015

English | 1 Aug. 2015 | ISBN: 1491906189 | 778 Pages | EPUB/MOBI/PDF (True) | 36.29 MB

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark.

Posted by **interes** at April 28, 2015

English | 2015 | ISBN: 1482240556 | 486 pages | PDF | 51,7 MB

Posted by **step778** at Feb. 19, 2015

2008 | pages: 816 | ISBN: 981277985X | PDF | 8,4 mb

Posted by **bookwyrm** at Aug. 27, 2013

2008 | 820 Pages | ISBN: 981277985X | PDF | 8 MB

Posted by **lout** at Oct. 26, 2010

Publisher: World Scientific Publishing Company 2008 | 820 Pages | ISBN: 981277985X | PDF | 8 MB

Posted by **hill0** at March 16, 2017

English | 9 Jan. 2017 | ISBN: 3319457950 | 456 Pages | EPUB | 2.38 MB

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations.

Posted by **hill0** at Jan. 21, 2017

English | 9 Jan. 2017 | ISBN: 3319457950 | 456 Pages | PDF | 8.35 MB

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification.

Posted by **Grev27** at Oct. 9, 2016

English | ISBN: 1785289713 | 2016 | PDF/EPUB/MOBI | 350 pages | 25 MB/28 MB/39 MB

Posted by **Underaglassmoon** at June 10, 2016

Springer | Theoretical Computer Science | March 14 2016 | ISBN-10: 1493928635 | 2389 pages | pdf | 48.84 mb

Editors: Kao, Ming-Yang (Ed.)

Presents accessible, updated and enhanced, A-Z entries with useful cross-references

Features examples from growing areas such as bioinformatics and social networks

Ensures a balanced coverage through a top-quality, scientifically and geographically diverse editorial board

Offers literature references for those looking to study a topic in more detail