This said, PhDs with experimental science backgrounds have relevant data science experience that someone in a data science boot camp cannot acquire in 3 months' time. There are certain tacit knowledge that cannot be learned quickly enough.
The only existing general framework that stitches together ideas from biology and computer science can be found in the complexity sciences. So it is indeed astounding that many DL researcher are ignorant of this field.
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DL research speaking from the viewpoint of either Bayesian statistics or mathematical programming simply do not speak in the same conceptual framework as those in the complexity sciences. Their ignorance is revealed by the language that they use to describe DL.
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