Computational Business Analytics
eBook - PDF

Computational Business Analytics

  1. 516 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Computational Business Analytics

Book details
Table of contents
Citations

About This Book

Learn How to Properly Use the Latest Analytics Approaches in Your OrganizationComputational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections

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Yes, you can access Computational Business Analytics by Subrata Das in PDF and/or ePUB format, as well as other popular books in Business & Management. We have over one million books available in our catalogue for you to explore.

Information

Year
2013
ISBN
9781439890738
Edition
1
Subtopic
Management

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Acknowledgements
  5. Author
  6. Chapter 1: Analytics Background and Architectures
  7. Chapter 2: Mathematical and Statistical Preliminaries
  8. Chapter 3: Statistics for Descriptive Analytics
  9. Chapter 4: Bayesian Probability and Inference
  10. Chapter 5: Inferential Statistics and Predictive Analytics
  11. Chapter 6: Artificial Intelligence for Symbolic Analytics
  12. Chapter 7: Probabilistic Graphical Modeling
  13. Chapter 8: Decision Support and Prescriptive Analytics
  14. Chapter 9: Time Series Modeling and Forecasting
  15. Chapter 10: Monte Carlo Simulation
  16. Chapter 11: Cluster Analysis and Segmentation
  17. Chapter 12: Machine Learning for Analytics Models
  18. Chapter 13: Unstructured Data and Text Analytics
  19. Chapter 14: Semantic Web
  20. Chapter 15: Analytics Tools
  21. Chapter 16: Analytics Case Studies
  22. Appendix A: Usage of Symbols
  23. Appendix B: Examples and Sample Data
  24. Appendix C: Matlab and R Code Examples
  25. References