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- 460 Seiten
- 17 Lesestunden
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Recent advancements in decision-making and risk analysis are explored, highlighting the integration of artificial intelligence (AI) and machine learning (ML) with classical decision analysis concepts. The book addresses the complexities of real-world applications, such as skill acquisition and unpredictable outcomes, enhancing normative decision theory's practicality. It emphasizes the evolution of AI/ML technologies to navigate uncertain and dynamic environments, ultimately leading to more effective decision-making frameworks.
Buchkauf
AI-ML for Decision and Risk Analysis, Louis Anthony Cox Jr.
- Sprache
- Erscheinungsdatum
- 2024
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- (Paperback)
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- Untertitel
- Challenges and Opportunities for Normative Decision Theory
- Sprache
- Englisch
- Autor*innen
- Louis Anthony Cox Jr.
- Erscheinungsdatum
- 2024
- Einband
- Paperback
- Seitenzahl
- 460
- ISBN13
- 9783031320156
- Reihe
- Schlagwörter
- Sachbücher, Handel, Wirtschaft & Management, Wissenschaft & Mathematik, Mathematik
- Beschreibung
- Recent advancements in decision-making and risk analysis are explored, highlighting the integration of artificial intelligence (AI) and machine learning (ML) with classical decision analysis concepts. The book addresses the complexities of real-world applications, such as skill acquisition and unpredictable outcomes, enhancing normative decision theory's practicality. It emphasizes the evolution of AI/ML technologies to navigate uncertain and dynamic environments, ultimately leading to more effective decision-making frameworks.