Machine Learning and Security : Protecting Systems With Data and Algorithms, ...

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N.º de artículo de eBay:357581672785
Última actualización el 08 oct 2025 19:44:11 H.EspVer todas las actualizacionesVer todas las actualizaciones

Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
Book Title
Machine Learning and Security : Protecting Systems With Data and
ISBN
9781491979907
Categoría

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Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1491979909
ISBN-13
9781491979907
eBay Product ID (ePID)
236738028

Product Key Features

Number of Pages
383 Pages
Language
English
Publication Name
Machine Learning and Security : Protecting Systems with Data and Algorithms
Subject
Security / General, Data Processing
Publication Year
2018
Type
Textbook
Subject Area
Computers
Author
David Freeman, Clarence Chio
Format
Trade Paperback

Dimensions

Item Height
1 in
Item Weight
23.5 Oz
Item Length
9.1 in
Item Width
7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2017-278942
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/1
Synopsis
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
LC Classification Number
Q325.5

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