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This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.
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· Uma N. Dulhare is currently working as a professor and the head Computer Science and Artificial Intelligence Department, Muffakham Jah College of Engineering and Technology, Hyderabad, India. She received her Ph.D. in Computer Science and Engineering from Osmania University, Hyderabad, India. She has published more than 50 research papers in reputed National, International Journals & chapters in the topics machine learning, IoT, image processing. She is the reviewer for Scopus and SCI journals like Springer, Elsevier, IEEE, MDPI, Wiley, etc. Her research interest includes data mining, AI, big data analytics, and machine learning, IoT, cloud computing, biomedical image processing, and soft computing. She is also a pride recipient of Best Computer Science Faculty, Best Academic Researcher, Teaching and Research Excellence, and Outstanding Educator and Scholar award.
Essam H. Houssein received his Ph.D. degree in Computer Science (AI). He is an associate professor at the Faculty of Computers and Information, Minia University, Egypt. He is the founder and the chair of the Artificial Intelligence Research (AIR) Group in Egypt. He has more than 200 scientific research papers published in prestigious international journals in the topics for instance meta-heuristics optimization, artificial intelligence, image processing, IoT, and its applications. He serves as a reviewer of more than 100 journals (Elsevier, Springer, IEEE, etc.). His research interests include WSNs, IoT, AI, bioinformatics and biomedical, image processing, data mining, and meta-heuristics optimization techniques.
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This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.
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Machine Learning and Metaheuristics: Methods and Analysis (Algorithms for Intelligent Systems)
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Machine Learning and Metaheuristics: Methods and Analysis
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Springer Nature Singapore, 2023
ISBN 10: 9819966442
ISBN 13: 9789819966448
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides rich set of chapters of machine learning and metaheuristic optimizationEmphasizes optimization algorithms such as PSO, ant colony optimization, cuckoo search algorithm, etc.Includes real-world examples with attention to theoretical. Nº de ref. del artículo: 1071298199
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Machine Learning and Metaheuristics: Methods and Analysis
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Springer Nature Singapore Feb 2024, 2024
ISBN 10: 9819966442
ISBN 13: 9789819966448
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. 312 pp. Englisch. Nº de ref. del artículo: 9789819966448
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Machine Learning and Metaheuristics: Methods and Analysis (Hardcover)
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Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9819966442
ISBN 13: 9789819966448
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Hardcover. Condición: new. Hardcover. This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9789819966448
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Machine Learning and Metaheuristics: Methods and Analysis (Algorithms for Intelligent Systems)
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Condición: New. pp. 312. Nº de ref. del artículo: 26398553842
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Machine Learning and Metaheuristics: Methods and Analysis
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Springer Nature Singapore, Springer Nature Singapore Nov 2023, 2023
ISBN 10: 9819966442
ISBN 13: 9789819966448
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Buch. Condición: Neu. Neuware -This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch. Nº de ref. del artículo: 9789819966448
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Machine Learning and Metaheuristics: Methods and Analysis
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Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9819966442
ISBN 13: 9789819966448
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Nº de ref. del artículo: 9789819966448
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Machine Learning and Metaheuristics: Methods and Analysis (Algorithms for Intelligent Systems)
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Condición: New. PRINT ON DEMAND pp. 312. Nº de ref. del artículo: 18398553848
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Machine Learning and Metaheuristics: Methods and Analysis
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