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...

Key Features:Includes balanced discussions on theory and practiceProvides readers with various practical ways of modeling and reasoning with agent epistemic states for decision making, such as resolution-based logic programming paradigm, Bayesian belief networks, and modal resolution...