Inhaltsangabe
As machine learning continues to evolve, its role in decision making will expand beyond optimization toward understanding, foresight, and collaboration. The goal is not perfect prediction or automated control, but wiser decisions that acknowledge uncertainty, respect human dignity, and adapt to an ever-changing world. By grounding machine learning in sound theory, ethical reflection, and practical insight, we move closer to decision systems that serve not only efficiency but also equity, sustainability, and collective well-being.As the scope of machine learning in complex decision making continues to expand, it becomes increasingly important to reflect on the deeper implications of delegating elements of judgment to computational systems. Decisions are not isolated technical events; they are embedded within cultural norms, institutional structures, and human experiences. Machine learning systems, no matter how advanced, operate within these contexts and inevitably influence them. This reciprocal relationship means that the impact of algorithmic decision making extends beyond efficiency gains into the shaping of behaviours, incentives, and expectations across societies.
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Über die Autorin bzw. den Autor
Sharmila L is working as Professor in CSE Dept at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology.Anandasimhan M is working as Asst Professor in Mechanical Dept at Sri Venkateswaraa College of Technology.Umamageshwari R is working as Asst Professor in Dept of AI & DS at Sri Venkateswaraa College of Technology.
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Machine Learning Algorithms for Complex Decisions
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MACHINE LEARNING ALGORITHMS FOR COMPLEX DECISIONS
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As machine learning continues to evolve, its role in decision making will expand beyond optimization toward understanding, foresight, and collaboration. The goal is not perfect prediction or automated control, but wiser decisions that acknowledge uncertainty, respect human dignity, and adapt to an ever-changing world. By grounding machine learning in sound theory, ethical reflection, and practical insight, we move closer to decision systems that serve not only efficiency but also equity, sustainability, and collective well-being.As the scope of machine learning in complex decision making continues to expand, it becomes increasingly important to reflect on the deeper implications of delegating elements of judgment to computational systems. Decisions are not isolated technical events; they are embedded within cultural norms, institutional structures, and human experiences. Machine learning systems, no matter how advanced, operate within these contexts and inevitably influence them. This reciprocal relationship means that the impact of algorithmic decision making extends beyond efficiency gains into the shaping of behaviours, incentives, and expectations across societies. 132 pp. Englisch. Bestandsnummer des Verkäufers 9786209697180
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Taschenbuch. Zustand: Neu. MACHINE LEARNING ALGORITHMS FOR COMPLEX DECISIONS | Sharmila L (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209697180 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 134748154
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Paperback. Zustand: new. Paperback. As machine learning continues to evolve, its role in decision making will expand beyond optimization toward understanding, foresight, and collaboration. The goal is not perfect prediction or automated control, but wiser decisions that acknowledge uncertainty, respect human dignity, and adapt to an ever-changing world. By grounding machine learning in sound theory, ethical reflection, and practical insight, we move closer to decision systems that serve not only efficiency but also equity, sustainability, and collective well-being.As the scope of machine learning in complex decision making continues to expand, it becomes increasingly important to reflect on the deeper implications of delegating elements of judgment to computational systems. Decisions are not isolated technical events; they are embedded within cultural norms, institutional structures, and human experiences. Machine learning systems, no matter how advanced, operate within these contexts and inevitably influence them. This reciprocal relationship means that the impact of algorithmic decision making extends beyond efficiency gains into the shaping of behaviours, incentives, and expectations across societies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209697180
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MACHINE LEARNING ALGORITHMS FOR COMPLEX DECISIONS
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Machine Learning Algorithms for Complex Decisions
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MACHINE LEARNING ALGORITHMS FOR COMPLEX DECISIONS
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LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209697186
ISBN 13: 9786209697180
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As machine learning continues to evolve, its role in decision making will expand beyond optimization toward understanding, foresight, and collaboration. The goal is not perfect prediction or automated control, but wiser decisions that acknowledge uncertainty, respect human dignity, and adapt to an ever-changing world. By grounding machine learning in sound theory, ethical reflection, and practical insight, we move closer to decision systems that serve not only efficiency but also equity, sustainability, and collective well-being.As the scope of machine learning in complex decision making continues to expand, it becomes increasingly important to reflect on the deeper implications of delegating elements of judgment to computational systems. Decisions are not isolated technical events; they are embedded within cultural norms, institutional structures, and human experiences. Machine learning systems, no matter how advanced, operate within these contexts and inevitably influence them. This reciprocal relationship means that the impact of algorithmic decision making extends beyond efficiency gains into the shaping of behaviours, incentives, and expectations across societies. Bestandsnummer des Verkäufers 9786209697180
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Machine Learning Algorithms for Complex Decisions
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