Condition: New.
Condition: New.
Paperback. Condition: New.
Published by Mjp Publisher 9/1/2024, 2024
ISBN 10: 9355287925 ISBN 13: 9789355287922
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Artificial Intelligence Techniques and Optimization. Book.
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketPaperback. Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 325 pages. 5.50x0.74x8.50 inches. In Stock.
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Add to basketPaperback. Condition: new. Paperback. The document you uploaded appears to be a textbook on Artificial Intelligence techniques and optimization processes, written by Dr. G. Kumaresan. The book covers various topics in AI, including state-space search, adversarial search, propositional and predicate logic, and optimization algorithms. It also delves into different learning methods such as supervised, unsupervised, and reinforcement learning, as well as neural networks and ensemble learning techniques. If you are asking for a specific description related to a particular section of the document, please clarify which topic or area you want a detailed description of, and I can assist you accordingly. If you are referring to the overall description of the book, I can summarize the contents as follows: Focus: The book is aimed at exploring artificial intelligence techniques and their optimization processes. It provides insights into how AI systems solve complex problems, enhance decision-making, and optimize performance in various applications.Target Audience: This is intended for beginners and those looking to understand the fundamental principles of AI. It also seems suitable for advanced readers looking for practical implementations of AI algorithms. Content Breakdown: The book explains search algorithms, learning methods (including neural networks and reinforcement learning), and AI's role in solving real-world problems like optimization. Let me know how you'd like to proceed or if you have a specific section in mind! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
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Seller: Majestic Books, Hounslow, United Kingdom
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Seller: Rarewaves.com UK, London, United Kingdom
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: PBShop.store US, Wood Dale, IL, U.S.A.
BPM. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketBPM. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The document you uploaded appears to be a textbook on Artificial Intelligence techniques and optimization processes, written by Dr. G. Kumaresan. The book covers various topics in AI, including state-space search, adversarial search, propositional and predicate logic, and optimization algorithms. It also delves into different learning methods such as supervised, unsupervised, and reinforcement learning, as well as neural networks and ensemble learning techniques. If you are asking for a specific description related to a particular section of the document, please clarify which topic or area you want a detailed description of, and I can assist you accordingly. If you are referring to the overall description of the book, I can summarize the contents as follows:Focus: The book is aimed at exploring artificial intelligence techniques and their optimization processes. It provides insights into how AI systems solve complex problems, enhance decision-making, and optimize performance in various applications.Target Audience: This is intended for beginners and those looking to understand the fundamental principles of AI. It also seems suitable for advanced readers looking for practical implementations of AI algorithms. Content Breakdown: The book explains search algorithms, learning methods (including neural networks and reinforcement learning), and AI's role in solving real-world problems like optimization. Let me know how you'd like to proceed or if you have a specific section in mind!