Handbook of Artificial Intelligence and Machine Learning in Decision Making
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Beschreibung
This volume presents a collection of invited chapters covering a broad range of perspectives on AI and decision-making. The scope is broad, and the potential impact is expected to be broader. Therefore, this volume represents only the beginning of a timely exploration of decision-making processes across thousands of applications that AI is expected to influence, including engineering, healthcare, management, human behavior, and business.
This handbook includes several applications of decision-making based on artificial intelligence and machine learning techniques. This book also explores both new methods and well-established techniques in several topics related to AI and decision-making.
This book is suitable for practitioners and researchers interested in artificial intelligence, machine learning, decision-making, and related topics.
This volume presents a collection of invited chapters covering a broad range of perspectives on AI and decision-making. The scope is broad, and the potential impact is expected to be broader. Therefore, this volume represents only the beginning of a timely exploration of decision-making processes across thousands of applications that AI is expected to influence, including engineering, healthcare, management, human behavior, and business.
This handbook includes several applications of decision-making based on artificial intelligence and machine learning techniques. This book also explores both new methods and well-established techniques in several topics related to AI and decision-making.
This book is suitable for practitioners and researchers interested in artificial intelligence, machine learning, decision-making, and related topics.
Real-world applications of AI and ML in decision-making makes it a valuable guide and highlights interdisciplinarity Case studies of the impact of a structured approach highlights the direct connection of academia and practice Includes new methods as well as review articles
Autor*in
Nicholas J. Daras
Themen in »Handbook of Artificial Intelligence and Machine Learning in Decision Making«
machine learning big data analytics computing models and algorithms decision making artificial intelligence