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4min chapter
Jordan Edwards: ML Engineering and DevOps on AzureML
Machine Learning Street Talk (MLST)
Is There a Cascade in Machine Learning?
Every single machine learning project is independent in some sense. We had this this issue when knw was trying to promote a culture of internal open source. How do you smoothly bring in get or eversion control with the concepts of, you know, tagging and labelling and nership information and even policies? That's where we're trying to get to, is you no directionally, we introduce sharable masues, make it easy to sec them into pipe lines,. And then introduce the the life cycle on top of those tharable madules in a seamless way so that you can go from interactive in a note book, in idea, whatever, to pipe line too, in a shared
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