What to Do When AI Fails
O'Reilly on Data
MAY 18, 2020
And last is the probabilistic nature of statistics and machine learning (ML). Most AI models decay overtime: This phenomenon, known more widely as model decay , refers to the declining quality of AI system results over time, as patterns in new data drift away from patterns learned in training data. How Material Is the Threat?
Let's personalize your content