Business Analytics for Professionals / edited by Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca
Contributor(s): Ustundag, Alp, editor literario | Cevikcan, Emre, editor literario | Beyca, Omer Faruk, editor literario
Material type:
E-bookSeries: Publisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XIV, 481 páginas) : 245 ilustraciones, 181 ilustraciones a color.ISBN: 9783030938239.Subject: Empresas -- Proceso de datos
| Datos masivos | Logística empresarialOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias Sociales | HF5548.2 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.28102406 |
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.
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