Computational Business Analytics

List of contents

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.

About the author

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.

Product details

• Authors: Subrata Das, Das Subrata
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 14.12.2013
• EAN: 9781439890707
• ISBN: 978-1-4398-9070-7
• No. of pages: 516
• Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Business > Management; Data Mining, Business and Management, BUSINESS & ECONOMICS / Statistics, BUSINESS & ECONOMICS / Management Science, COMPUTERS / Programming / Games, computer science, Business & management, Probability & statistics, Probability and statistics, COMPUTERS / Data Science / Data Analytics