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