717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler
Super Data Science: ML & AI Podcast with Jon Krohn
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Importance of Resilient Machine Learning in Cybersecurity
The chapter emphasizes building a robust machine learning system that can withstand challenges like data distribution shifts and adversarial attacks, focusing on strategies to address feature dropouts and outages. It also explores the relevance of resilient machine learning in data science modeling and software engineering, highlighting the need for quick adaptation to changing distributions through fast retraining and utilizing aggregate features.
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