Doug Lautzenheiser

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Maintainability There are many people who will work on an ML system. They are ML engineers, DevOps engineers, and subject matter experts (SMEs). They might come from very different backgrounds, with very different programming languages and tools, and might own different parts of the process. It’s important to structure your workloads and set up your infrastructure in such a way that different contributors can work using tools that they are comfortable with, instead of one group of contributors forcing their tools onto other groups.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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