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I almost implemented some causal ML stuff last year but ultimately decided it was too low ROI in my case So that was too bad, would've been fun
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Yeah — I find more and more if there is a well defined specific technical science problem I end up giving it to a new phd and moving on to the more ambiguous problems regarding data/product fit. I almost did some custom state space time series modeling.
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