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Taschenbuch. Zustand: Neu. REDUCE OVERLAPPING IN MAMMOGRAPHY BY DEEP LEARNING CLASSIFICATION | USING CONVOLUTION NEURAL NETWORK | Bobbinpreet Kaur (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204208077 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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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. 317 pp. Englisch.
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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. 317 pp. Englisch.
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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.
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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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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.
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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.
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Taschenbuch. Zustand: Neu. Réduire Les Chevauchements En Mammographiepar Classification Par Apprentissage Profond | En Utilisant Un Réseau Neuronal À Convolution | Bobbinpreet Kaur (u. a.) | Taschenbuch | Französisch | 2021 | Editions Notre Savoir | EAN 9786204147345 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Verlag: Sciencia Scripts, 2021
ISBN 10: 6204147366 ISBN 13: 9786204147369
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Taschenbuch. Zustand: Neu. Umen'shenie Perekrytiq V Mammografii Spomosch'ü Klassifikaciq Na Osnowe Glubokogo Obucheniq | Ispol'zowanie Swertochnoj Nejronnoj Seti | Bobbinpreet Kaur (u. a.) | Taschenbuch | Russisch | 2021 | Sciencia Scripts | EAN 9786204147369 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Sprache: Portugiesisch
Verlag: Edicoes Nosso Conhecimento, 2021
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