Model drift refers to the phenomenon that occurs when the performance of a machine learning model degrades with time. This happens for various reasons, including data distribution changes, changes in the goals or objectives of the model, or changes to the environment in which the model is operating. There are two main types of model drift that […]
Handling Concept Drift in Interventional Machine Learning Systems
Click to learn more about author Peter Baudains. Fraudsters are becoming increasingly ambitious and sophisticated in their financial crime endeavors, and fraudulent activity is becoming harder to differentiate from genuine activity. Losses are being realized in a shorter period, as fraudsters adapt to beat traditional fraud management techniques and strategies. This constant innovation by fraudsters […]