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Discussion on: Why You Should Become A Data Engineer And Not A Data Scientist

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zakwillis profile image
zakwillis

Good article.
A lot of this is more to do with what companies think they need, and a lot to do with following trends and fashions. It becomes more about - we need to be doing data science and artificial intelligence without thinking about what the goals are. A significant amount of machine learning simply becomes about replacing code with ML which produces similar outputs without as much code.
I have played around enough with ML to see these variations. Where ML makes strong promises are where significant coding logic would be needed and updating significantly. I have written a couple of neat applications on top of WordNet, but I still suspect some AI/ML is needed to improve the quality of the output.