MLOps20: Building End-to-End Machine Learning Workflows with Kubeflow in AWS

Kubeflow is a popular open-source machine learning ML toolkit for Kubernetes users who want to build custom ML pipelines.
Kubeflow Pipelines is an add-on to Kubeflow that lets you build and deploy portable and scalable end-to-end ML workflows.
In this session I show you how to get started with Kubeflow Pipelines on AWS.
I also demonstrate how you can integrate powerful Amazon SageMaker features such as data labeling large-scale hyperparameter tuning distributed training jobs secure and scalable model deployment using Amazon SageMaker Components for Kubeflow Pipelines.
Speaker: Antje is a Developer Advocate for AI and Machine Learning at Amazon Web Services AWS based in Düsseldorf Germany.
She is co-author of the OReilly Book Data Science on AWS.

Источник: rutube.ru