AI Reliability in Security: A New Data Science Paradigm


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AI reliability has yet to be considered in data science, yet is required to predict how a model will perform over time in the field. What exactly constitutes AI reliability, how do we maximize and measure it, and why is it needed? This session will answer these questions as well as present a mathematical algorithm for optimization and consideration.

Participants
Celeste Fralick

Participant

Chief Data Scientist, McAfee

Machine Learning & Artificial Intelligence Machine Learning & Artificial Intelligence

artificial intelligence & machine learning artificial intelligence & machine learning


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