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Business Analytics with R and Python

Language EnglishEnglish
Book Hardback
Book Business Analytics with R and Python David L. Olson
Libristo code: 46086852
Publishers Springer, Berlin, November 2024
This book provides an overview of data mining methods in the field of business. Business management... Full description
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25 851 Ft
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This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.

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About the book

Full name Business Analytics with R and Python
Language English
Binding Book - Hardback
Date of issue 2024
Number of pages 180
EAN 9789819747719
Libristo code 46086852
Publishers Springer, Berlin
Weight 398
Dimensions 155 x 235
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