Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
Author:   Emmanuel Tsukerman
Publisher:   Packt Publishing Limited
ISBN:  

9781789614671


Pages:   346
Publication Date:   25 November 2019
Format:   Paperback
Availability:   Available To Order   Availability explained
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Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning algorithms for building security systems using Python


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Author:   Emmanuel Tsukerman
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789614671


ISBN 10:   1789614678
Pages:   346
Publication Date:   25 November 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Machine Learning for Cybersecurity Machine Learning-Based Malware Detection Advanced Malware Detection Machine Learning for Social Engineering Penetration Testing Using Machine Learning Automatic Intrusion Detection Securing and Attacking Data with Machine Learning Secure and Private AI Appendix

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Emmanuel Tsukerman graduated from Stanford University and obtained his Ph.D. from UC Berkeley. In 2017, Dr. Tsukerman's anti-ransomware product was listed in the Top 10 ransomware products of 2018 by PC Magazine. In 2018, he designed an ML-based, instant-verdict malware detection system for Palo Alto Networks' WildFire service of over 30,000 customers. In 2019, Dr. Tsukerman launched the first cybersecurity data science course.

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