E2E ML Platform on Kubernetes with just a few clicks
summary
Shows how to build an end-to-end machine learning platform on Kubernetes using the open source qflow, demonstrating setup and orchestration that the uploader says works with a few clicks. Walks through installation, pipeline orchestration and model deployment from a software engineering perspective rather than data science, and demonstrates the bridge between data workflows and content orchestration with a live setup that runs end-to-end.
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