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2020?The
datasets?Target
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Without experienced humans to formulate these questions, we would not be able to even start on the journey of data science.After formulating a data science question, data scientists need to outline their assumptions. It is perhaps no coincidence that many of them revolve around deep learning algorithms that make some of the strongest claims to do away with feature engineering.So while parts of core machine learning are automated (in fact, we even teach some of the ways to automate those workflows), the data munging, data cleaning and feature engineering (which comprises 90% of the real work in data science) cannot be safely automated away.There is a clear precedent in history to suggest data science will not be automated away.
As said here by Michael Li