I wonder what % of ML projects are done with the goal of writing a blog post about it vs actually accomplishing something of value. Definitely guilty of it.
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Probably not a meaningful fraction of *all* ML projects, but quite possibly a large fraction of *publicly visible* ML projects...
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is this bad for the industry? some thoughts: • the "sexy effect": making everyone think all ML projects are crazy cool and complicated • companies won't reveal their most valuable projects to keep their edge • is valuable ML boring by blog post standards?
Thanks. Twitter will use this to make your timeline better. UndoUndo
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