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The distinction is being made on end outputs -- is it more like a Powerpoint deck, or more like a production data pipeline -- not on techniques. "Machine learn
by preygel 10y ago
The distinction is being made on end outputs -- is it more like a Powerpoint deck, or more like a production data pipeline -- not on techniques.
"Machine learning" includes plenty of activities that can be used to provide evidence for one-off human decision making (e.g., using a model to produce forecasts or to understand sensitivities).
- mastazi 10y agoMmmmh yes, often ML produces data which supports human decision making; I see what you mean. In fact, now that you mention it, in my company the BI team is starting to use ML techniques to recognise some particular patterns.