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Viser: Machine Learning and Security - Protecting Systems with Data and Algorithms
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Machine Learning and Security Vital Source e-bog
Clarence Chio og David Freeman
(2018)
O'Reilly Media, Inc
560,00 kr.
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Machine Learning and Security
Protecting Systems with Data and Algorithms
Clarence Chio og David Freeman
(2018)
Sprog: Engelsk
O'Reilly Media, Incorporated
543,00 kr.
ikke på lager, Bestil nu og få den leveret
om ca. 10 hverdage
om ca. 10 hverdage
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: O'Reilly Media, Inc (Januar 2018)
- Forfattere: Clarence Chio og David Freeman
- ISBN: 9781491979853
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 1. Udgave
- Paperback: 370 sider
- Udgiver: O'Reilly Media, Incorporated (Februar 2018)
- Forfattere: Clarence Chio og David Freeman
- ISBN: 9781491979907
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you'll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis.
Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike.
- Learn how machine learning has contributed to the success of modern spam filters
- Quickly detect anomalies, including breaches, fraud, and impending system failure
- Conduct malware analysis by extracting useful information from computer binaries
- Uncover attackers within the network by finding patterns inside datasets
- Examine how attackers exploit consumer-facing websites and app functionality
- Translate your machine learning algorithms from the lab to production
- Understand the threat attackers pose to machine learning solutions
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