Introduction to Machine Learning for Red Team Hackers

This course provides a brief overview of the learning path structure, as well as introduction to the code base you'll use.

2 videos  //  2 minutes of training

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Course description

Get an overview of what to expect in the Machine Learning for Red Team Hackers Learning Path, including highlights of course topics and a brief description of the path’s hands-on assignments. In addition, a link to the GitHub repository containing the code base is provided.

Course syllabus

Introduction to Machine Learning for Red Team HackersDuration: 1:44

File - Code RepositoryDuration: 0:00

Meet the author

Emmanuel Tsukerman

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Dr. Tsukerman graduated from Stanford University and UC Berkeley. In 2017, his machine-learning-based anti-ransomware product won Top 10 Ransomware Products by PC Magazine. In 2018, he designed a machine-learning-based malware detection system for Palo Alto Network's WildFire service (over 30,000 customers). In 2019, Dr. Tsukerman authored the Machine Learning for Cybersecurity Cookbook and launched the Infosec Skills Cybersecurity Data Science Learning Path.

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  • 190+ role-guided learning paths and assessments (e.g., Incident Response)
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