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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. Machine Learning and Metaheuristics: Methods and Analysis | Uma N. Dulhare (u. a.) | Taschenbuch | xiii | Englisch | 2024 | Springer | EAN 9789819966479 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 130398594
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9789819966479
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9789819966479
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