Business Analytics for Professionals [electronic resource] / edited by Alp Ustundag, Emre Cevikcan, Omer Faruk Beyca.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9783030938239
- HF5548.2
Item type | Current library | Home library | Collection | Call number | Copy number | Status | Notes | Date due | Barcode | |
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Merkez Kütüphane | Merkez Kütüphane | E-Kitap Koleksiyonu | HF5548.2EBK (Browse shelf(Opens below)) | 1 | Geçerli değil-e-Kitap / Not applicable-e-Book | END | EBK02854 |
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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