MLOps: Operationalizing ML

This presentation discusses how to operationalize model and machine learning operations. We will discuss versioning, containerizing, and deploying models, applying CI/CD practices to models, creating streaming operations, monitoring, and live training. We will also look at platforms that are currently in use and how they are applied in
modern architectures.

Daniel Hinojosa

Independent Consultant

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