Algorithmic Intelligence

R, Ratheesh; P, Mohana Priya; G.S, Uthayakumar

ISBN 10: 6209165990 ISBN 13: 9786209165993
Published by LAP LAMBERT Academic Publishing, 2025
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Algorithmic intelligence represents the backbone of adaptive AI systems, providing the principles, mechanisms, and computational strategies that enable machines to perceive, learn, reason, and act autonomously in complex, dynamic, and often unpredictable environments. By understanding and mastering core algorithms including machine learning models, optimization techniques, probabilistic reasoning, reinforcement learning, neural architectures, and hybrid approaches researchers and practitioners can design systems that are not only accurate and efficient but also resilient, interpretable, scalable, and capable of continuous adaptation. These algorithms serve as the connective tissue between raw data and actionable insight, transforming inputs into predictive, prescriptive, and even creative outputs that support human decision-making and autonomous operations.

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Title: Algorithmic Intelligence
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2025
Binding: PAP
Condition: New

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Ratheesh R (u. a.)
Published by LAP LAMBERT Academic Publishing, 2025
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Taschenbuch. Condition: Neu. ALGORITHMIC INTELLIGENCE:CORE ALGORITHMS FOR ADAPTIVE AI SYSTEMS | Ratheesh R (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209165993 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 134301429

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Algorithmic intelligence represents the backbone of adaptive AI systems, providing the principles, mechanisms, and computational strategies that enable machines to perceive, learn, reason, and act autonomously in complex, dynamic, and often unpredictable environments. By understanding and mastering core algorithms including machine learning models, optimization techniques, probabilistic reasoning, reinforcement learning, neural architectures, and hybrid approaches researchers and practitioners can design systems that are not only accurate and efficient but also resilient, interpretable, scalable, and capable of continuous adaptation. These algorithms serve as the connective tissue between raw data and actionable insight, transforming inputs into predictive, prescriptive, and even creative outputs that support human decision-making and autonomous operations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Seller Inventory # 9786209165993

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 108 pp. Englisch. Seller Inventory # 9786209165993

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R, Ratheesh; P, Mohana Priya; G.S, Uthayakumar
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Paperback. Condition: new. Paperback. Algorithmic intelligence represents the backbone of adaptive AI systems, providing the principles, mechanisms, and computational strategies that enable machines to perceive, learn, reason, and act autonomously in complex, dynamic, and often unpredictable environments. By understanding and mastering core algorithms including machine learning models, optimization techniques, probabilistic reasoning, reinforcement learning, neural architectures, and hybrid approaches researchers and practitioners can design systems that are not only accurate and efficient but also resilient, interpretable, scalable, and capable of continuous adaptation. These algorithms serve as the connective tissue between raw data and actionable insight, transforming inputs into predictive, prescriptive, and even creative outputs that support human decision-making and autonomous operations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209165993

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