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Business analytics for professionals
~
Ustundag, Alp.
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Business analytics for professionals
Record Type:
Electronic resources : Monograph/item
Title/Author:
Business analytics for professionals/ edited by Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca.
other author:
Ustundag, Alp.
Published:
Cham :Springer International Publishing : : 2022.,
Description:
xiv, 481 p. :ill., digital ;24 cm.
[NT 15003449]:
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
Subject:
Business - Data processing. -
Online resource:
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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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.
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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.
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Engineering (SpringerNature-11647)
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W9442259
電子資源
11.線上閱覽_V
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EB HF5548.2 .B87 2022
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