Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1318
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dc.contributor.authorHalder, Soma-
dc.contributor.authorOzdemir, Sinan-
dc.date.accessioned2026-07-23T04:38:57Z-
dc.date.available2026-07-23T04:38:57Z-
dc.date.issued2018-12-
dc.identifier.isbn978-1-78899-228-2-
dc.identifier.urihttp://hdl.handle.net/123456789/1318-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherPackt Publishingen_US
dc.relation.ispartofseries1281218;-
dc.subjectHands-On Machine Learning for Cybersecurityen_US
dc.titleHands-On Machine Learning for Cybersecurityen_US
dc.title.alternativeSafeguard your system by making your machines intelligent using the Python ecosystemen_US
dc.typeBooken_US
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