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AI-ML for Decision and Risk Analysis

Challenges and Opportunities for Normative Decision Theory

Louis Anthony Cox Jr.

AI-ML for Decision and Risk Analysis
AI-ML for Decision and Risk Analysis

AI-ML for Decision and Risk Analysis

Challenges and Opportunities for Normative Decision Theory

Louis Anthony Cox Jr.

Hardback / bound | English
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Description

The result is a more robust and implementable technology for AI/ML-assisted decision-making.

The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields.



Louis Anthony Cox Jr. is a Professor of Business Analytics at the University of Colorado, USA; Chief Digital Intelligence Officer at Entanglement, Inc.; and President of Cox Associates, a Denver-based applied research company specializing in artificial intelligence and machine learning; health, safety, and environmental risk analysis; epidemiology; policy analytics; data science; and operations research. Dr. Cox is Editor-in-Chief of Risk Analysis: An International Journal. He is a member of the National Academy of Engineering, a Fellow of the Institute for Operations Research and Management Science (INFORMS), and a Fellow of the Society for Risk Analysis (SRA). He has authored and co-authored over 200 journal articles and numerous books and chapters in these fields. He holds over a dozen US patents on applications of artificial intelligence, signal processing, statistics, and operations research in telecommunications. His current research interests include computational statistical methods for causal inference in public health risk analysis, data mining, and advanced analytics for risk management, business, and public policy applications.

Specifications

  • Publisher
    Springer International Publishing AG
  • Pub date
    Jul 2023
  • Theme
    Operational research
  • Dimensions
    235 x 155 mm
  • Weight
    852 gram
  • EAN
    9783031320125
  • Hardback / bound
    Hardback / bound
  • Language
    English