Details for: Hands-on machine learning for cyber security : safeguard your system by making your machines intelligent using Python ecosystem / › University of West London Library catalogue

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Hands-on machine learning for cyber security : safeguard your system by making your machines intelligent using Python ecosystem / Soma Halder.

By: Halder, Soma [author.]Material type: Text

TextLanguage: English Publisher: Birmingham : Packt Publishing, 2018Description: 1 volumeContent type: text Media type: unmediated Carrier type: volumeISBN: 9781788992282 :Subject(s): Computers and IT | Computer security | Network security | Artificial intelligenceSummary: The book will allow readers to implement smart solutions to their existing cybersecurity products and effectively build intelligent solutions which cater to the needs of the future. By the end of this book, you will be able to build, apply, and evaluate machine learning algorithms to identify various cybersecurity potential threats.

Holdings
Item type	Current library	Home library	Shelving location	Class number	Status	Date due	Barcode	Item reservations
Book	Paul Hamlyn Library	Paul Hamlyn Library	Floor 1	005.8 HAL (Browse shelf(Opens below))	Issued	11/11/2024	06724914

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Previous	005.8 GRE CISSP guide to security essentials /	005.8 GRI Disaster survival guide for business communications networks : strategies for planning, response and recovery in data and telecom systems /	005.8 GUI Guide to network security /	005.8 HAL Hands-on machine learning for cyber security : safeguard your system by making your machines intelligent using Python ecosystem /	005.8 HAR Gray hat hacking : the ethical hacker's handbook.	005.8 HAS Cybersecurity leadership : powering the modern organization /	005.8 HO Cyber insider threat : : trustworthiness in virtual organizations /	Next

The book will allow readers to implement smart solutions to their existing cybersecurity products and effectively build intelligent solutions which cater to the needs of the future. By the end of this book, you will be able to build, apply, and evaluate machine learning algorithms to identify various cybersecurity potential threats.

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