How does CI/CD for machine learning differ from traditional software CI/CD? What additional considerations and pipeline stages are needed?

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CI/CD for machine learning extends traditional software CI/CD with additional stages that address the unique challenges of ML systems. While conventional CI/CD focuses on code quality and deployment, ML CI/CD must also validate data, models, and the interaction between them.