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Business Analytics with R and Python (AI for Risks)
Unlock the power of data mining to tackle business challenges and elevate decision-making with 'Business Analytics with R and Python.'
Business Analytics with R and Python (AI for Risks)
Item #: 274923700

Business Analytics with R and Python (AI for Risks)

Item #: 274923700

KWD 24

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Unlock the power of data mining to tackle business challenges and elevate decision-making with 'Business Analytics with R and Python.'
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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.
Publisher Springer
Publication date July 30, 2024
Language English
File size 32.7 MB
Enhanced typesetting Enabled
X-Ray Not Enabled
Word Wise Not Enabled
Print length 297 pages
ISBN-13 978-9819747726
Page Flip Enabled
Item Weight1.5 lbs (680 grams)

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Business Analytics with R and Python (AI for Risks)

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