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Business Analytics Using R - A Practical Approach

Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and...

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Main Authors: Hodeghatta, Umesh R. (Author, http://id.loc.gov/vocabulary/relators/aut), Nayak, Umesha. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2017.
Edition:1st ed. 2017.
Subjects:
Big data.
Computer programming.
Programming languages (Electronic computers).
Data mining.
Information storage and retrieval.
Mathematical statistics.
Big Data.
Programming Techniques.
Programming Languages, Compilers, Interpreters.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Probability and Statistics in Computer Science.
Online Access:https://doi.org/10.1007/978-1-4842-2514-1

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https://doi.org/10.1007/978-1-4842-2514-1

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