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9789811968136 - Machine Learning Safety di Huang, Xiaowei; Jin, Gaojie; Ruan, Wenjie (18 risultati)
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Machine Learning Safety
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Machine Learning Safety
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Condizione: 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.
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Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st Edition.
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Machine Learning Safety
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 66,54
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Machine Learning Safety
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Machine Learning Safety
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 73,03
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Machine Learning Safety (Artificial Intelligence: Foundations, Theory, and Algorithms)
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 78,62
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Machine Learning Safety
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 86,24
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Machine Learning Safety
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: Revaluation Books, Exeter, Regno Unito
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EUR 121,25
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Aggiungi al carrelloHardcover. Condizione: Brand New. 338 pages. 9.25x6.10x0.81 inches. In Stock.
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Machine Learning Safety
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsEUR 85,05
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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 (eng)
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: Brook Bookstore On Demand, Napoli, NA, Italia
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EUR 66,23
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Machine Learning Safety
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsLingua: Inglese
Editore: Springer Nature Singapore Apr 2023, 2023
ISBN 10: 9811968136 ISBN 13: 9789811968136
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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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
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsEUR 68,62
Spedizione EUR 48,99
Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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
Libro 13 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsLingua: Inglese
Editore: Springer, Springer Apr 2023, 2023
ISBN 10: 9811968136 ISBN 13: 9789811968136
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 80,24
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Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch.
