Idioma: Inglés
Publicado por National Academies Press, 2026
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 30,15
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por National Academies Press, 2026
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: Devils in the Detail Ltd, Oxford, Reino Unido
EUR 14,31
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Very Good. Picture Shown is For Illustration Purposes Only : CONDITION : VERY GOOD : PAPERBACK :light wear and scuff marks to cover, pages in nice condition, shipped from the UK.
Idioma: Inglés
Publicado por National Academies Press, Washington, 2025
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 34,03
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Advances in artificial intelligence, and specifically in machine learning, are enabling new capabilities across nearly every sector of the economy. Many of these applications - such as automated vehicles, the power grid, or surgical robots - are safety critical: where malfunctions can result in harm to people, the environment, or property. While machine learning is already being deployed to enhance the capabilities of some physical systems, extending the rigorous practices of safety engineering to include machine learning components brings significant challenges.Machine Learning for Safety-Critical Applications explores ways to safely integrate machine learning into physical systems and presents research priorities for improving safety, testing, and evaluation. This report finds that designing machine learning algorithms in a way that aligns with safety engineering standards will require changes in research, training, and engineering practice - as well as a shift away from focusing on algorithmic performance in isolation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por National Academies Press, 2026
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 31,70
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por National Academies Press, 2025
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 36,53
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New. 2025. paperback. . . . . .
Idioma: Inglés
Publicado por National Academies Press, 2025
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: Revaluation Books, Exeter, Reino Unido
EUR 37,28
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 106 pages. 8.44x0.33x10.95 inches. In Stock.
Idioma: Inglés
Publicado por National Academies Press, 2026
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 44,18
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New. 2025. paperback. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por National Academies Press, 2026
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 37,70
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por National Academies Press, 2026
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 37,80
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por National Academies Press, 2026
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 38,03
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por National Academies Press, Washington, 2025
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: CitiRetail, Stevenage, Reino Unido
EUR 38,74
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Advances in artificial intelligence, and specifically in machine learning, are enabling new capabilities across nearly every sector of the economy. Many of these applications - such as automated vehicles, the power grid, or surgical robots - are safety critical: where malfunctions can result in harm to people, the environment, or property. While machine learning is already being deployed to enhance the capabilities of some physical systems, extending the rigorous practices of safety engineering to include machine learning components brings significant challenges.Machine Learning for Safety-Critical Applications explores ways to safely integrate machine learning into physical systems and presents research priorities for improving safety, testing, and evaluation. This report finds that designing machine learning algorithms in a way that aligns with safety engineering standards will require changes in research, training, and engineering practice - as well as a shift away from focusing on algorithmic performance in isolation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por National Academies Press, Washington, 2025
ISBN 10: 0309726662 ISBN 13: 9780309726665
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 60,95
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Advances in artificial intelligence, and specifically in machine learning, are enabling new capabilities across nearly every sector of the economy. Many of these applications - such as automated vehicles, the power grid, or surgical robots - are safety critical: where malfunctions can result in harm to people, the environment, or property. While machine learning is already being deployed to enhance the capabilities of some physical systems, extending the rigorous practices of safety engineering to include machine learning components brings significant challenges.Machine Learning for Safety-Critical Applications explores ways to safely integrate machine learning into physical systems and presents research priorities for improving safety, testing, and evaluation. This report finds that designing machine learning algorithms in a way that aligns with safety engineering standards will require changes in research, training, and engineering practice - as well as a shift away from focusing on algorithmic performance in isolation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.