ML Ops design patterns with Kubeflow Pipelines - Amy Unruh, Google

When moving your ML workflows from notebook exploration to production, many new problems can arise. We’ll talk about some of the reasons this transition can be difficult; discuss patterns that can address these problems; then show how Kubeflow Pipelines (KFP) can be used to support and implement these patterns, and demo KFP in action.

#kubeflow #machine-learning

ML Ops Design Patterns with Kubeflow Pipelines - Amy Unruh, Google
1.80 GEEK