"The difficulty is that machine learning is a fundamentally hard debugging problem. Debugging for machine learning happens in two cases: 1) your algorithm doesn't work or 2) your algorithm doesn't work well enough."
Read it!"Data scientists do a whole range of different types of task. If you arbitrary label some of these as analysis and others not, then you can make them add up to 80%."
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