Further reading

• Model drift: https://www.ibm.com/cloud/watson-studio/drift
• Data drift: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-monitor-datasets?tabs=python
• Concept drift: https://www.iguazio.com/blog/concept-drift-deep-dive-how-to-build-a-drift-aware-ml-system/
• Dealing with concept drift: https://neptune.ai/blog/concept-drift-best-practices
• Retraining strategies: https://www.kdnuggets.com/2019/12/ultimate-guide-model-retraining.html