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.
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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Zustand: 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. Bestandsnummer des Verkäufers 1071298199
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9789819966448
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Hardcover. Zustand: 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. Bestandsnummer des Verkäufers 9789819966448
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Buch. Zustand: Neu. Machine Learning and Metaheuristics: Methods and Analysis | Uma N. Dulhare (u. a.) | Buch | xiii | Englisch | 2023 | Springer | EAN 9789819966448 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 127476701
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Zustand: New. pp. 312. Bestandsnummer des Verkäufers 26398553842
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9789819966448
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9789819966448
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Zustand: New. PRINT ON DEMAND pp. 312. Bestandsnummer des Verkäufers 18398553848
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Hardcover. Zustand: Brand New. 308 pages. 9.25x6.10x0.87 inches. In Stock. Bestandsnummer des Verkäufers x-9819966442
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