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

By: 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.

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.

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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