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

LinkedIn

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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  • 140+ role-based learning paths (e.g., Incident Response)
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Live team boot camp

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Request Team Quote Browse Boot Camps
  • Team boot camp administration and reporting
  • Exam Pass Guarantee
    If you don’t pass your exam on the first attempt, you'll get a second attempt for free. Includes the ability to re-sit the course for free for up to one year.
  • 100% Satisfaction Guarantee
    If you’re not 100% satisfied with your training at the end of the first day, you may withdraw and enroll in a different online or in-person course.
  • Knowledge Transfer Guarantee
    If an employee leaves within three months of obtaining certification, Infosec will train a different employee at the same organization tuition-free for up to one year.
  • Certification exam vouchers
  • Live, instructor-led training (onsite, in-person or live online)
  • 90 days extended access to recordings of daily lessons
  • Build your team's skills with hundreds of additional hands-on courses and labs

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