Subrata Das

Computational Business Analytics (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 516
• Erscheinungstermin: 14. Dezember 2013
• Englisch
• ISBN-13: 9781439890738
• Artikelnr.: 40392331

Autorenporträt

Subrata Das is the founder and president of Machine Analytics and also serves as a consulting scientist to other companies. He has many years of experience in industrial, government, and academic research and development. He earned his Ph.D. in computer science and master's in mathematics.

Inhaltsangabe

Analytics Background and Architectures. Mathematical and Statistical
Preliminaries. Statistics for Descriptive Analytics. Bayesian Probability
and Inference. Inferential Statistics and Predictive Analytics. Artificial
Intelligence for Symbolic Analytics. Probabilistic Graphical Modeling.
Decision Support and Prescriptive Analytics. Time Series Modeling and
Forecasting. Monte Carlo Simulation. Cluster Analysis and Segmentation.
Machine Learning for Analytics Models. Unstructured Data and Text
Analytics. Semantic Web. Analytics Tools. Appendices. Index.