Machine learning workflows are hard to build because you need to create hundreds of code packages for data preparation, model training and deployment, and stitch them together so they run as a sequence of steps. In this session, learn about…
Kubernetes and Kubeflow are becoming common tools for building ML Platforms, but require significant investment to configure the open source tools for reliability and scalability. SageMaker is a managed service and provides direct integrations with Kubernetes Operators and Kubeflow Pipeline…
