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> I feel like this post is essentially someone from the first group criticizing the last group, saying their methods are not applicable to him.

Probably more accurate to say that it's the first group criticizing others in the first group who try to act like people in the third group. Data scientists who use deep learning for everything, when a more interpretable model would do just as well.



Sounds very familiar in pattern to those people who were part of the 'big data' hype who would attempt to use Hadoop for everything.. even work that could have been accomplished with an Excel sheet and an hour.

Looks like us Engineers have a common pattern in running towards the next shiny thing ;-)

Somewhere along the journey/career some of us wise up and learn when to say No, and use the right tools for the job, and ignore the "cool" factor.


Or, someone in the first group criticizing observers who fail to distinguish among groups before making predictions.




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