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Is there utility for a software engineer to understand ML concepts to a deep degree if they don’t perform research?

Trying to gauge where I should focus learning for my career (which i don’t plan to do research in)

Roughly I see a gap in businesses needing AI/ML implemented, but outside some debugging, would it be worthwhile to develop a model from scratch or would some off the shelf model for use case X, tuned a bit, likely fit most use cases for a standard business?




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