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Bayesian Networks are a form of probabilistic graphical models and they are used for modeling knowledge in many application areas, from medicine to image processing. They are particularly useful for business applications, ans
• Unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance.
• Shares insights about when and why probabilistic methods can and cannot be used effectively;
• Complete review of Bayesian networks and probabilistic methods for those IT professionals new to informatics.
I: Informatics and Baysesian Networks; Introduction to Informatics; Basics of Probability and Statistics; Algorithms for Bayesian Networks; Decision Trees and Influence Diagrams. II: Business Informatics: Collaborative Filtering; Targeted Advertising; Market Basket Analysis; Venture Capital Decision Making; Measuring Operational Risk; Credit Scoring; Applications to Investment Science. Appendices.