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Ml Production Pipelines

ml-production-pipelines

Automated workflows for deploying ML models to production

Components:

Data ingestion
Training
Validation
Deployment
Monitoring (model-drift, data-drift)

Tools: tensorflow-extended, mlflow

Requires ci-cd-ct practices

*References

mlops
ml-pipeline
Building ML Pipelines
ML Production Best Practices

*References

#ml-notes

Ml Pipeline

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