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🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner
The MLOps Podcast
Machine Learning and Data Signs Projects - What's the Difference?
Machine learning projects can be broken apart into smaller, more manageable problems. You just need to put in the a aster the thoughts and and time into doing that before you get started. And then you need to write code that supports that breaking down into smaller problems. Laers of abstraction is one of the most important a system designer, architecture. So i often e low level toos are to low level. Em it's a bit of a misnomer, a working there, because the data scienc or statisticians are simply, this is twoo two different paradimes. They can't eno.
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