Kirit Thadaka, ML Solution Architect, demonstrates how Amazon SageMaker Pipelines will help automate ML workflows at scale. In this demo, he shows how you can leverage Pipelines to orchestrate ML tasks within and outside of SageMaker for an end-to-end workflow.
For the code for this demo, visit the Github: bit.ly/3H3rfTu
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