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Published by Springer Nature Singapore, 2023
ISBN 10: 9811968136 ISBN 13: 9789811968136
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Add to basketGebunden. Condition: 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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ISBN 10: 9811968152 ISBN 13: 9789811968150
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Published by Springer, Berlin|Springer Nature Singapore|Springer, 2024
ISBN 10: 9811968160 ISBN 13: 9789811968167
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Add to basketCondition: 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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