Marwan omar (340 resultados)

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Paperback. 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. …

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Condición: As New. Neuf. 13 7x17 5x1 4cm. Sans date. blu_ray. As New.

Condición: As New. Neuf. 13 7x17 5x1 4cm. Sans date. blu_ray. As New.

Condición: As New. Neuf. 13 7x17 5x1 4cm. Sans date. blu_ray. As New.

Condición: As New. Neuf. 13 7x17 5x1 4cm. Sans date. blu_ray. As New.

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Condición: As New. Unread book in perfect condition.

Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Paperback. Condición: Brand New. 56 pages. 9.25x6.10x0.12 inches. In Stock.

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paperback. Condición: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

Taschenbuch. 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.…

Taschenbuch. Condición: Neu. Smartphone Security | Marwan Omar | Taschenbuch | 140 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659688676 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Paperback. 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. …