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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Dr.R.Ratheesh is working as Associate Professor in Department of ECE in Agni College of Technology.Mohana priya.P is working as Assistant Professor in Department of CSE in Vels institute of science, Technology and Advanced studies.Dr.G S.Uthayakumar is working as Associate Professor in Department of ECE in St.Joseph's Institute of Technology.
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Paperback. Zustand: 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 multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209165993
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9786209165993
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Taschenbuch. Zustand: 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: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 134301429
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