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Library,Documentation and Information Science Division

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borderland which separates the known from the unknown”

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R for cloud computing : an approach for data scientists / A Ohri.

By: Material type: TextTextPublication details: New York : Springer, 2014.Description: xvii, 267 p. : illustrations (some color) ; 23 cmISBN:
  • 9781493917013
Subject(s): DDC classification:
  • 004.6782  23 Oh38
Contents:
1. Introduction to R for cloud computing--- 2. An Approach for Data Scientists -- 3. Navigating the Choices in R and Cloud Computing -- 4. Setting up R on the Cloud -- 5. Using R -- 6. Using R with Data and Bigger Data -- 7. R with Cloud APIs -- 8. Securing your R Cloud -- 9. Training Literature for Cloud Computing and R-- Appendix-- References.
Summary: This book is aimed at industry practitioners with basic programming skills and students who want to enter analytics as a profession. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. It will also help researchers and academics but at a practical rather than conceptual level. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The cloud computing paradigm is firmly established as the next generation of computing from microprocessors to desktop PCs to cloud.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 004.6782 Oh38 (Browse shelf(Opens below)) Available 136186
Total holds: 0

Includes bibliographical references.

1. Introduction to R for cloud computing---
2. An Approach for Data Scientists --
3. Navigating the Choices in R and Cloud Computing --
4. Setting up R on the Cloud --
5. Using R --
6. Using R with Data and Bigger Data --
7. R with Cloud APIs --
8. Securing your R Cloud --
9. Training Literature for Cloud Computing and R--
Appendix--
References.

This book is aimed at industry practitioners with basic programming skills and students who want to enter analytics as a profession. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. It will also help researchers and academics but at a practical rather than conceptual level. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The cloud computing paradigm is firmly established as the next generation of computing from microprocessors to desktop PCs to cloud.

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