Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1318
Title: Hands-On Machine Learning for Cybersecurity
Other Titles: Safeguard your system by making your machines intelligent using the Python ecosystem
Authors: Halder, Soma
Ozdemir, Sinan
Keywords: Hands-On Machine Learning for Cybersecurity
Issue Date: Dec-2018
Publisher: Packt Publishing
Series/Report no.: 1281218;
Abstract: The damage that cyber threats can wreak upon an organization can be incredibly costly. In this book, we use the most efficient and effective tools to solve the big problems that exist in the cybersecurity domain and provide cybersecurity professionals with the knowledge they need to use machine learning algorithms. This book aims to bridge the gap between cybersecurity and machine learning, focusing on building new and more effective solutions to replace traditional cybersecurity mechanisms and provide a collection of algorithms that empower systems with automation capabilities.
URI: http://hdl.handle.net/123456789/1318
ISBN: 978-1-78899-228-2
Appears in Collections:E-Books

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