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2min chapter
Jordan Edwards: ML Engineering and DevOps on AzureML
Machine Learning Street Talk (MLST)
Data Scientists vs Sophoware Engineers
I think for data science projects it's more like a factor of ten. I was higher b e, even higher. In is because if you ask ten different data scientists how to solve a problem, they'll give you ten different answers. If you look at it as a supho engineering project, that the curves are different, it's much harder to predict what's going on. And i think fom most organizations, you really have to havea ration between your data scientists and your m l engineers.
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