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Añadir al carritoPaperback. Condición: Brand New. 120 pages. French language. 9.00x6.00x0.30 inches. In Stock.
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 62,99
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Añadir al carritoPaperback. Condición: New. 1st ed. 2022. This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effectiveAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 65,28
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Idioma: Inglés
Publicado por Information Science Reference (edition 1), 2015
ISBN 10: 1466683457 ISBN 13: 9781466683457
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 65,80
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Añadir al carritoHardcover. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Añadir al carritoPF. Condición: New.
Idioma: Inglés
Publicado por Information Science Reference, 2015
ISBN 10: 1466683457 ISBN 13: 9781466683457
Librería: -OnTimeBooks-, Phoenix, AZ, Estados Unidos de America
EUR 67,79
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Añadir al carritoCondición: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.
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Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 72,00
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Añadir al carritoCondición: New. 2022. 1st ed. 2022. paperback. . . . . .
Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
Librería: Revaluation Books, Exeter, Reino Unido
EUR 80,84
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Añadir al carritoPaperback. Condición: Brand New. 56 pages. 9.25x6.10x0.12 inches. In Stock.
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Añadir al carritoCondición: New. 2022. 1st ed. 2022. paperback. . . . . . Books ship from the US and Ireland.
Idioma: Francés
Publicado por Editions Notre Savoir, 2025
ISBN 10: 6209062202 ISBN 13: 9786209062209
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 68,80
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Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland Sep 2022, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 58,84
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 56 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 58,84
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior.The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routinetasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effectiveAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the applicationof machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659688673 ISBN 13: 9783659688676
Librería: preigu, Osnabrück, Alemania
EUR 53,25
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Añadir al carritoTaschenbuch. Condición: Neu. Smartphone Security | Marwan Omar | Taschenbuch | 140 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659688676 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer International Publishing, 2022
ISBN 10: 3031116259 ISBN 13: 9783031116254
Librería: Buchpark, Trebbin, Alemania
EUR 19,97
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
Librería: Rarewaves.com UK, London, Reino Unido
EUR 58,83
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Añadir al carritoPaperback. Condición: New. 1st ed. 2022. This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effectiveAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 152,87
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Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 164,06
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 157,90
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 158,45
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 162,53
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 161,16
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Añadir al carritoPaperback. Condición: new. Paperback. As AI continues to transform education, it is becoming essential for teacher support and education. By automating administrative tasks and personalizing learning pathways, AI enables educators to focus more on instruction and student engagement. AI platforms can identify individual teaching strengths and customize training resources. Harnessing AI in this context not only empowers teachers to refine their practice but also fosters a more adaptive, data-informed approach to professional learning in education systems worldwide. Harnessing AI for Teacher Support and Professional Development explores the transformative role of AI as it transforms the education landscape. It examines the ways that AI supports educators in both practice and professional development. Covering topics such as automated feedback systems, teacher credentialing, and virtual mentorship, this book is an excellent resource for researchers, academicians, educators, administrators, and curriculum developers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 167,37
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Añadir al carritoPaperback. Condición: new. Paperback. As artificial intelligence (AI) is integrated into scientific, technical, and medical (STM) research, ensuring security and ethical standards becomes more critical. AI tools play a transformative role in data analysis and research methods, to peer reviews and publication, raising complex questions around data privacy, algorithmic bias, intellectual property, and research integrity. The rapid pace of innovation also introduces risks like the misuse of generative models, vulnerabilities in automated systems, and challenges in maintaining transparency and accountability. To navigate this landscape, a proactive approach is essential, combining governance frameworks, interdisciplinary collaboration, and ethical oversight. By prioritizing these elements, the scientific community can harness the full potential of AI while safeguarding integrity and societal trust in STM research. Ensuring Secure and Ethical STM Research in the AI Era explores the convergence of AI, ethics, and cybersecurity within the context of STM innovation. It examines addresses the secure and ethical deployment of AI in scientific research, development, and discovery. This book covers topics such as biomedicine, cloud technology, and data privacy, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Information Science Reference, 2015
ISBN 10: 1466683457 ISBN 13: 9781466683457
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 197,02
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Añadir al carritoCondición: New.