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3min chapter
Jordan Edwards: ML Engineering and DevOps on AzureML
Machine Learning Street Talk (MLST)
M L Devop's Framework
Every single m l devops project is different. The computers heterogeneous. You might have distributed inferenceing, or sing deep loning models. How do you scale what was an interactive experiment to run on your full data corpus without shooting yourself in the foot? We're getting to a better spot for that. And you're seeing o technologies emerge in the wild, weather. It's cube flow, m flo whatever. we're starting to arrive at the point now.
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