Retraining is easy; knowing when not to is the real challenge. In machine learning, performance drops are rarely about stale weights; they’re about misunderstood signals.
The post The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix appeared first on Towards Data Science.
