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  • Data & Machine Learning5 min read

    When Not to Build Custom Machine Learning, and How to Tell When You Should

    Custom machine learning is expensive to build and more expensive to keep running. Here is how to decide between rules, an off-the-shelf model and a custom one, with a data-readiness checklist and a staged path that avoids wasted effort.

    bitNode Solutions Team