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Deep Learning Academy · Lesson

Detect Data & Model Drift

Catch when the world changes under you.

The World Keeps Moving

Your model learned yesterday's patterns, but real data keeps changing. When it shifts, predictions quietly get worse. We call this problem drift. 🌊

Two Flavors of Drift

There are two kinds to watch. Data drift means the inputs change shape, while concept drift means the relationship between inputs and labels changes.

All lessons in this course

  1. Track Experiments with Weights & Biases
  2. Version Data & Models
  3. Detect Data & Model Drift
  4. Automate Retraining Pipelines
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