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machine learning safety di huang xiaowei (29 risultati)
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Machine Learning Safety
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 62,86
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Machine Learning Safety
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
EUR 57,34
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Machine Learning Safety
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 55,01
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EUR 58,35
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Machine Learning Safety
Da: Majestic Books, Hounslow, Regno Unito
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EUR 58,39
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Machine Learning Safety
Editore: Springer Nature Singapore, Springer Nature Singapore Mai 2024, 2024
ISBN 10: 9811968160 ISBN 13: 9789811968167
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities.The book aims to improve readers¿ awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
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Machine Learning Safety
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 61,64
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Machine Learning Safety
Editore: Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9811968160 ISBN 13: 9789811968167
Lingua: Inglese
EUR 58,55
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities.The book aims to improve readers' awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.
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Machine Learning Safety
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 63,90
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Machine Learning Safety
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 64,48
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Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
EUR 75,05
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Aggiungi al carrelloCondizione: New. 2023rd edition NO-PA16APR2015-KAP.
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Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 72,57
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EUR 74,92
Convertire valutaEUR 9,70 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Provides a comprehensive and thorough investigation on safety concerns regarding machine learningShows readers to identify vulnerabilities in machine learning models and to improve the models in the training processDemonstrates formal verif.
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Machine Learning Safety
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 73,01
Convertire valutaEUR 17,06 per la spedizione da U.S.A. a ItaliaQuantità: 1 disponibili
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Machine Learning Safety
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 74,16
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Machine Learning Safety
Editore: Springer Nature Singapore, Springer Nature Singapore Apr 2023, 2023
ISBN 10: 9811968136 ISBN 13: 9789811968136
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 74,89
Convertire valutaEUR 15,00 per la spedizione da Germania a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities.The book aims to improve readers¿ awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
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Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 85,24
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Machine Learning Safety
Editore: Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9811968136 ISBN 13: 9789811968136
Lingua: Inglese
EUR 76,88
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities.The book aims to improve readers' awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.
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Machine Learning Safety
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 113,67
Convertire valutaEUR 11,71 per la spedizione da Regno Unito a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 338 pages. 9.25x6.10x0.81 inches. In Stock.
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EUR 141,57
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Aggiungi al carrellopaperback. Condizione: New. New. book.
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EUR 157,73
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Aggiungi al carrelloHardcover. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Machine Learning Safety
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2024
ISBN 10: 9811968160 ISBN 13: 9789811968167
Lingua: Inglese
EUR 47,23
Convertire valutaEUR 9,70 per la spedizione da Germania a ItaliaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this developm.
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Machine Learning Safety
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 59,03
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning Safety
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 55,74
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning Safety
Editore: Springer Nature Singapore Mai 2024, 2024
ISBN 10: 9811968160 ISBN 13: 9789811968167
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 53,49
Convertire valutaEUR 11,00 per la spedizione da Germania a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 340 pp. Englisch.
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Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 77,26
Convertire valutaEUR 10,36 per la spedizione da Regno Unito a ItaliaQuantità: 4 disponibili
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Machine Learning Safety
Editore: Springer Nature Singapore Apr 2023, 2023
ISBN 10: 9811968136 ISBN 13: 9789811968136
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 74,89
Convertire valutaEUR 11,00 per la spedizione da Germania a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities.The book aims to improve readers' awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills. 340 pp. Englisch.
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Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 81,10
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Machine Learning Safety
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 82,29
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Aggiungi al carrelloHardcover. Condizione: Brand New. 338 pages. 9.25x6.10x0.81 inches. In Stock. This item is printed on demand.
