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Buch. Zustand: Neu. Computational Optimization | Machine Learning and Fuzzy Systems | Narinder Kaur (u. a.) | Buch | Mathematical Methods in the Digital Age | XII | Englisch | 2026 | Walter de Gruyter | EAN 9783119143769 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.
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In den WarenkorbHardcover. Zustand: Brand New. 313 pages. 6.69x0.75x9.61 inches. In Stock.
Sprache: Englisch
Verlag: Walter De Gruyter Feb 2026, 2026
ISBN 10: 3119143766 ISBN 13: 9783119143769
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: Neu. Neuware -Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles withpractical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 317 pp. Englisch.
Sprache: Englisch
Verlag: Walter De Gruyter Feb 2026, 2026
ISBN 10: 3119143766 ISBN 13: 9783119143769
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles withpractical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.