Data drift

How it is used

Teams monitor for data drift, set alerts and retrain when it grows too large. A related idea is concept drift, where the relationship between the inputs and the correct answer changes, as when customer habits shift after a big event.

Example sentences

1. Data drift started when the app launched in a new country with different customers.

2. The data drift dashboard shows that the average order size has doubled since January.

Common collocations

• detect data drift
• monitor for data drift
• concept drift
• drift alert

Related terms

• MLOpsThe practices and tools for running machine learning reliably in production: versioning data and models, automating training and deployment, and monitoring models over time.
• training dataThe examples a model learns from during training. Their quality, size and variety largely decide how well the model works on new data.
• deployTo put a trained model into a real system so that users or other software can send it requests and receive predictions.
• modelThe result of training: a program with learned parameters that takes an input, such as an image or a sentence, and produces an output, such as a label, a number or a text.

This word in other fields

The same English word can have a different meaning in another field:

• data drift · Software Engineering

More terms: Deployment and MLOps

• inference
• GPU
• latency
• endpoint
• quantization
• roll out