ML for Cyber Security
ML for Cyber Security
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Topic 1.3 of Introduction to Machine Learning in Cybersecurity
Malware, social engineering, network intrusion, and fraud and abuse, the four broad threat families this course is organised around, and the 2002 Paul Graham spam classifier case study that shows why a learned model outlasts a hand-written rule list.
By the end of this topic, you will
Quadrant 1 · e-Tutorial
Video content coming soon.
Quadrant 2 · e-Content
Quadrant 3 · Web Resources
Quadrant 4 · Self-Assessment
Assessment coming soon.