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Jordan Edwards: ML Engineering and DevOps on AzureML
Machine Learning Street Talk (MLST)
The Scheme of a Machine Learning Model
How do you take the scheme of a data set flowing in from pandus and translate it into something that's compatible with tensers on the front end there? And then how do we extend this beyond just models and to any component inside of the work flow? And that, that's the next step that we're working to get to right now. So because everything is so new and nascent, and thei'r so many different opensource tools, i don't think standards have emerged just yet. But at least from a an azure and microsop point of view, we're trying all of them,. figuring out which one's work best for our customers, both inside and outside
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