Resilient Machine Learning
Resilient machine learning emphasizes building robust systems that can withstand various challenges, from service outages to shifts in data distribution. As new customers and industries are onboarded, systems must adapt without compromising performance. Additionally, in the realm of cybersecurity, constant adversarial changes necessitate strategies that ensure protection and reliability, even amidst feature dropouts or data unavailability.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
717: Overcoming Adversaries with A.I. for Cybersecurity — with Dr. Dan Shiebler
Related Questions