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Where ML and DevOps Meet - ML 108

Adventures in Machine Learning

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DevOps - Data as Code?

In the data world, I don't know if there's really good tools right now to correct for that. In genomics, you have to be able to verify things usually in a lab or in a clinical trial. There are no really good ways to track that. And data as code doesn't really make sense because who wants terabytes of it?

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