Name: Basics of End-to-End MLOps
Uploaded: 2021-10-20
Description: MLOps, or DevOps for machine learning, enables data science and IT teams to collaborate and increase the pace of model development and deployment by monitoring, validation, and governance of machine learning models. To understand MLOps, we must first understand the ML systems lifecycle from developing ML models to deploying and monitoring them.

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MLOps, or DevOps for machine learning, enables data science and IT teams to collaborate and increase the pace of model development and deployment by monitoring, validation, and governance of machine learning models.  To understand MLOps, we must first understand the ML systems lifecycle from developing ML models to deploying and monitoring them.

Basics of End-to-End MLOps

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