Scale Efficiency and ML – Why Our Short-Attention Span Matters
Scale Efficiency and ML – Why Our Short-Attention Span Matters
By Gary Angel
|March 29, 2019
The Measurement Minute with Gary Angel
Thinking about when to use machine learning? Defined outcomes and clock-time efficiency are both important. But so too is the scale of the problem you’re tackling – not so much in quantity of data but in the number of variables and control levers to consider.
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