I am trying to formalize a model/process that can ID distributions where a patch on one is highly likely to also work on another. Retrospectively, we can patch multiple models and reduce time bug hunting. Prospectively, we can configure build scripts to eliminate certain problems.

In reply to Re^3: Perl in data science: could a grant from Perl foundation be useful? by thechartist
in thread Perl in data science: could a grant from Perl foundation be useful? by zubenel0

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