Data science and big data analytics : discovering, analyzing, visualizing and presenting data.

By:

EMC Education Services

Material type:

TextOriginal language: English Publisher: Indianápolis, Indiana : John Wiley & Sons, 2015Description: 410 páginas : : figuras ; tablesContent type:

texto

Media type:

sin mediación

Carrier type:

volumen

ISBN:

9781118876138

Subject(s):

DDC classification:

23 005.7 D232

Contents:

Chapter 1: Introduction to Big Data Analytics. -- Chapter 2: Data Analytics Lifecycle. -- Chapter 3: Review of Basic Data Analytic Methods Using R. -- Chapter 4: Advanced Analytical Theory and Methods: Clustering. -- Chapter 5: Advanced Analytical Theory and Methods: Association Rules. -- Chapter 6: -- Advanced Analytical Theory and Methods: Regression. -- Chapter 7: Advanced Analytical Theory and Methods: Classification. -- Chapter 8: Advanced Analytical Theory and Methods: Time Series Analysis. -- Chapter 9: Advanced Analytical Theory and Methods: Text Analysis. -- Chapter 10: Advanced Analytics—Technology and Tools: MapReduce and Hadoop. -- Chapter 11: Advanced Analytics—Technology and Tools: In-Database Analytics. -- Chapter 12: The Endgame, or Putting It All Together.

Summary: Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software.

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	LIBROS - MATERIAL GENERAL	BIBLIOTECA CENTRAL General				005.7 D232 (Browse shelf(Opens below))				Ej.:1	Available			086924

Total holds: 0

Contents.

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software.

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