mlops

Machine Learning Operations → DevOps for ML systems

Key concerns:

• model-drift
• data-drift
• ci-cd-ct pipelines
• ml-production-pipelines

Tools: mlflow, weights-and-biases, tensorflow-extended

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*References

• ml-pipeline
• MLOps Guide
• Google MLOps
• ML in Production Coursera

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*References

#ml-notes