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MLOps: Streamlining ML Lifecycle Management by ABDULLAH ARSHAD is a document available to read on EtoBox.
What is MLOps: Streamlining ML Lifecycle Management about?
MLOPS is a discipline that integrates machine learning system development and operations, focusing on collaboration among Data Scientists, ML Engineers, and IT Professionals to optimize the machine learning application lifecycle. Key components include data management, version control, automation, and monitoring, with an emphasis on data ingestion, transformation, and storage. Effective data management is crucial for ensuring high-quality, reproducible, and scalable machine learning models.
- Author
- ABDULLAH ARSHAD
- Language
- EN