Regularization and generalization · MLD-0191
Concept drift
A change over time in the relationship between inputs and targets.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Fraud patterns evolve after deployment.
Original caveat
Some practitioners use the term more broadly.
Context and aliases
Level: Intermediate. Stages: Theory · Training · Evaluation · Deployment · Monitoring.
Tags: ML · DL · SLM · LLM · MLOps.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- Google Machine Learning Glossary ↗ · Consulted
- Transformers glossary ↗ · Consulted
- Google Cloud MLOps architecture ↗ · Reference link
- PyTorch neural-network layers ↗ · Reference link
- scikit-learn User Guide ↗ · Consulted
- Original reference URL ↗