Computational Business Analytics
eBook - ePub

Computational Business Analytics

  1. 516 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Business Analytics

Book details
Table of contents
Citations

About This Book

This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. The author first covers core descriptive and inferential statistics for analytics and then enhances numerical statistical techniques with symbolic artificial intelligence and machine learning techniques for richer predictive and prescriptive analytics. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies.

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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

Publisher
Chapman and Hall/CRC
Year
2013
ISBN
9781040053553
Edition
1
Topic
Business
Subtopic
Management
Index
Business

Table of contents

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