It's what an ill-defined discipline requires: to be jack of all trades and master of none! Choose real skills over mouthful titles.https://twitter.com/suzatweet/status/1098490857374736384 …
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I think at least the hype started to decline around 2016 and the market is saturated now (in US). Frankly, todays Data Science is not as ill-defined as 2015 or so and has fallen back to some extent to its BI origin, maybe like any other hypes ... (1/2)
Yet still evolving ML engineering field has come out with clear objectives and in my opinion will stay much longer as it attackes the problems with better engineering skills. One can argue ML engineering is not new though! For todays problem it lacks maturity in a wider sense.
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