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Business analytics for professionals
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Ustundag, Alp.
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Business analytics for professionals
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Business analytics for professionals/ edited by Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca.
其他作者:
Ustundag, Alp.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xiv, 481 p. :ill., digital ;24 cm.
內容註:
PART I: TBA -- Chapter 1. Business Analytics for Managers -- Chapter 2. Big Data Management and Technologies -- Chapter 3. Descriptive Analytics: Feature Engineering & Data Visualization -- Chapter 4. Predictive Analytics with Machine Learning -- Chapter 5. Neural Networks and Deep Learning -- Chapter 6. Handling Unstructured Data: Text Analytics and Image Analysis -- Chapter 7. Prescriptive Analytics: Optimization and Modelling -- PART II: TBA -- Chapter 8. Supply Chain Analytics -- Chapter 9. CRM & Marketing Analytics -- Chapter 10. Financial Analytics -- Chapter 11. Human Resources Analytics -- Chapter 12. Manufacturing Analytics.
Contained By:
Springer Nature eBook
標題:
Business - Data processing. -
電子資源:
https://doi.org/10.1007/978-3-030-93823-9
ISBN:
9783030938239
Business analytics for professionals
Business analytics for professionals
[electronic resource] /edited by Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca. - Cham :Springer International Publishing :2022. - xiv, 481 p. :ill., digital ;24 cm. - Springer series in advanced manufacturing,2196-1735. - Springer series in advanced manufacturing..
PART I: TBA -- Chapter 1. Business Analytics for Managers -- Chapter 2. Big Data Management and Technologies -- Chapter 3. Descriptive Analytics: Feature Engineering & Data Visualization -- Chapter 4. Predictive Analytics with Machine Learning -- Chapter 5. Neural Networks and Deep Learning -- Chapter 6. Handling Unstructured Data: Text Analytics and Image Analysis -- Chapter 7. Prescriptive Analytics: Optimization and Modelling -- PART II: TBA -- Chapter 8. Supply Chain Analytics -- Chapter 9. CRM & Marketing Analytics -- Chapter 10. Financial Analytics -- Chapter 11. Human Resources Analytics -- Chapter 12. Manufacturing Analytics.
This book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python.
ISBN: 9783030938239
Standard No.: 10.1007/978-3-030-93823-9doiSubjects--Topical Terms:
527441
Business
--Data processing.
LC Class. No.: HF5548.2 / .B87 2022
Dewey Class. No.: 650.0285
Business analytics for professionals
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