Random Forests: Still Useful?

Channel:
United States SANS Cyber Defense
Subscribers:
20,300
Published on ● Video Link: https://www.youtube.com/watch?v=tJ1fSPolPsY


Duration: 44:47
174 views
7

In the last episode we looked at how a decision tree could be used to classify network data automatically. We left off with mention of the mysterious "Random Forest" technique.

In this episode we experiment with random forests and see how to apply them to the same network classification problem in addition to trying one out on a computer vision task!

David Hoelzer, the operations chief for Enclave Forensics, Inc. and a managing partner with Occulumen, Ltd. (and SANS Fellow) will lead this livestream. David has more than thirty years of experience in the IT and cybersecurity fields, with more than 25 years specifically in the network monitoring, SOC operations, and incident response fields. He leads the machine learning function within Enclave Forensics and is the author of both SEC503 (Intrusion Detection In-Depth) and SEC595 (Applied Data Science and Machine Learning/AI for Cybersecurity Professionals).

https://www.sans.org/cyber-security-courses/intrusion-detection-in-depth/
https://www.sans.org/cyber-security-courses/applied-data-science-machine-learning/

Hashtags:
#machinelearning #ai #ml #networking #datascience #python



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