Editore: Springer International Publishing, 2019
ISBN 10: 3030146820 ISBN 13: 9783030146825
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 256 | Sprache: Englisch | Produktart: Bücher.
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 20,00
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Aggiungi al carrelloX, 244 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Proceedings in Complexity. Sprache: Englisch.
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
EUR 29,67
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Aggiungi al carrelloCondizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Editore: Springer International Publishing, 2022
ISBN 10: 3031124014 ISBN 13: 9783031124013
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 132 | Sprache: Englisch | Produktart: Bücher.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 48,89
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 44,76
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 48,88
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Da: California Books, Miami, FL, U.S.A.
EUR 60,63
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Da: California Books, Miami, FL, U.S.A.
EUR 60,63
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Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031546075 ISBN 13: 9783031546075
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policies. The book focuses on the agricultural sector in the European Union and considers statistical information from the Farm Accountancy Data Network (FADN).Presently, statistical databases present a lot of information for many indicators and, in these contexts, one of the main tasks is to identify the most important predictors of certain indicators. In this way, the book presents approaches to identifying the most relevant variables that best support the design of adjusted farming policies and management plans. These subjects are currently important for students, public institutions and farmers. To achieve these objectives, the book considers the IBM SPSS Modeler procedures as well as the respective models suggested by this software.The book is read by students in production engineering, economics and agricultural studies, public bodies and managers in the farming sector.
Editore: Springer International Publishing, 2022
ISBN 10: 3031124014 ISBN 13: 9783031124013
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical and machine learning approaches as well as for communicating modelling results in business and industry.Different views in the context of Industry 4.0 are offered in connection with the concepts of explainability of machine learning tools, generalizability of model outputs and sensitivity analysis. Moreover, the book explores the integration of Artificial Intelligence and robust analysis of variance for big data mining and monitoring in Additive Manufacturing, and sheds new light on interpretability via random forests and flexible generalized additive models together with related software resources and real-world examples.
Editore: Springer Nature Switzerland, Springer Nature Switzerland Feb 2024, 2024
ISBN 10: 3031546075 ISBN 13: 9783031546075
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policies. The book focuses on the agricultural sector in the European Union and considers statistical information from the Farm Accountancy Data Network (FADN).Presently, statistical databases present a lot of information for many indicators and, in these contexts, one of the main tasks is to identify the most important predictors of certain indicators. In this way, the book presents approaches to identifying the most relevant variables that best support the design of adjusted farming policies and management plans. These subjects are currently important for students, public institutions and farmers. To achieve these objectives, the book considers the IBM SPSS Modeler procedures as well as the respective models suggested by this software.The book is read by students in production engineering, economics and agricultural studies, public bodies and managers in the farming sector.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 148 pp. Englisch.
Editore: Springer International Publishing, Springer Nature Switzerland Okt 2022, 2022
ISBN 10: 3031124014 ISBN 13: 9783031124013
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical and machine learning approaches as well as for communicating modelling results in business and industry.Different views in the context of Industry 4.0 are offered in connection with the concepts of explainability of machine learning tools, generalizability of model outputs and sensitivity analysis. Moreover, the book explores the integration of Artificial Intelligence and robust analysis of variance for big data mining and monitoring in Additive Manufacturing, and sheds new light on interpretability via random forests and flexible generalized additive models together with related software resources and real-world examples.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 53,34
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 61,47
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Da: Majestic Books, Hounslow, Regno Unito
EUR 61,60
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 56,82
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Da: Revaluation Books, Exeter, Regno Unito
EUR 64,15
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Aggiungi al carrelloPaperback. Condizione: Brand New. 206 pages. 9.25x6.14x0.43 inches. In Stock.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 58,26
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 67,65
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 385.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 59,21
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Da: Chiron Media, Wallingford, Regno Unito
EUR 57,32
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 73,21
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 67,11
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 67,49
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Da: Books Puddle, New York, NY, U.S.A.
EUR 78,09
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Aggiungi al carrelloCondizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Da: Books Puddle, New York, NY, U.S.A.
EUR 79,45
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Da: Revaluation Books, Exeter, Regno Unito
EUR 76,26
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Aggiungi al carrelloPaperback. Condizione: Brand New. 130 pages. 9.25x6.10x0.28 inches. In Stock.
Editore: Springer-Nature New York Inc, 2024
ISBN 10: 3031546075 ISBN 13: 9783031546075
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 76,53
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Aggiungi al carrelloPaperback. Condizione: Brand New. 146 pages. 9.25x6.10x0.32 inches. In Stock.
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031546075 ISBN 13: 9783031546075
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 53,21
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policies. The book focuses on the agricultural sector in the European Union and considers statistical information from the Farm Accountancy Data Network (FADN).Presently, statistical databases present a lot of information for many indicators and, in these contexts, one of the main tasks is to identify the most important predictors of certain indicators. In this way, the book presents approaches to identifying the most relevant variables that best support the design of adjusted farming policies and management plans. These subjects are currently important for students, public institutions and farmers. To achieve these objectives, the book considers the IBM SPSS Modeler procedures as well as the respective models suggested by this software.The book is read by students in production engineering, economics and agricultural studies, public bodies and managers in the farming sector. This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.