12 · Deployment, Monitoring & Improvement

Lifecycle & Retraining

Lifecycle & Retraining groups the core ideas a learner needs at the 12 · deployment, monitoring & improvement stage. Work through the lessons in order when new to the area, or use them independently as a reference when implementing an analysis.

How to use this topic

Learn the mechanism one decision at a time

Work through the lessons in order if the topic is new. If you already know the basics, open the specific leaf lesson that matches the operation, diagnostic or failure mode you need.

1Definition→
2Mechanism→
3Example→
4Diagnostic→
5Decision
01
Retraining triggersRetraining triggers belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.
02
Scheduled vs event-driven retrainingScheduled vs event-driven retraining belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.
03
Shadow evaluationShadow evaluation is a practical concept within Lifecycle & Retraining. It helps turn the broader workflow stage “12 · Deployment, Monitoring & Improvement” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.
04
Champion-challenger testingChampion-challenger testing is a practical concept within Lifecycle & Retraining. It helps turn the broader workflow stage “12 · Deployment, Monitoring & Improvement” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.
05
RollbackRollback belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.
06
Approval and governanceApproval and governance is a practical concept within Lifecycle & Retraining. It helps turn the broader workflow stage “12 · Deployment, Monitoring & Improvement” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.
07
Post-deployment feedback loopsPost-deployment feedback loops belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.