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EUR 25,76
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Aggiungi al carrelloCondizione: New. pp. 232 66 Illus.
EUR 27,22
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Da: Basi6 International, Irving, TX, U.S.A.
EUR 44,56
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
EUR 32,76
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Aggiungi al carrelloCondizione: Like New. Used - Like New. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 47,25
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 16,00
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Aggiungi al carrello2006. 16 x 24 cm. XXII, 280 S. XXII, 280 p. With online files/update. 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. (Advances in Industrial Control). Sprache: Englisch.
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 16,00
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Aggiungi al carrelloxiii, 291 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. Studies in computational intelligence, volume 833. Sprache: Englisch.
Da: ALLBOOKS1, Direk, SA, Australia
EUR 50,06
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Editore: Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811951721 ISBN 13: 9789811951725
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
EUR 52,34
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. The case studies presented in this book can be run on a regular desktop or notebook computer. No high-performance computing facilities are required. The idea for the book originated in a study conducted by Bartz & Bartz GmbH for the Federal Statistical Office of Germany (Destatis). Building on that study, the book is addressed to practitioners in industry as well as researchers, teachers and students in academia. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II).Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms. The book presents analyses of more than 30 hyperparameters from six relevant ML and DL methods, and provides source code so that users can reproduce the results. Accordingly, it serves as a handbook and textbook alike. This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 50,00
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 53,00
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642068731 ISBN 13: 9783642068737
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
EUR 56,00
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 53,67
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 53,71
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 52,51
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 52,51
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 54,04
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 52,86
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 56,17
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 58,96
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 58,96
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Da: Books Puddle, New York, NY, U.S.A.
EUR 55,67
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Aggiungi al carrelloCondizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 57,00
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Editore: Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9811951691 ISBN 13: 9789811951695
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
EUR 59,35
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. The case studies presented in this book can be run on a regular desktop or notebook computer. No high-performance computing facilities are required. The idea for the book originated in a study conducted by Bartz & Bartz GmbH for the Federal Statistical Office of Germany (Destatis). Building on that study, the book is addressed to practitioners in industry as well as researchers, teachers and students in academia. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II).Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms. The book presents analyses of more than 30 hyperparameters from six relevant ML and DL methods, and provides source code so that users can reproduce the results. Accordingly, it serves as a handbook and textbook alike. This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: ALLBOOKS1, Direk, SA, Australia
EUR 59,47
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Da: California Books, Miami, FL, U.S.A.
EUR 59,47
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 59,21
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Aggiungi al carrelloCondizione: New.
EUR 61,56
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Aggiungi al carrelloCondizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2006
ISBN 10: 3540320261 ISBN 13: 9783540320265
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
EUR 62,13
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises. Introduces the experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. This book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.