Re:How to Become a Data Scientist, Part 2
by preygel on Sunday August 07, 2016 @08:35PM
(#12244649)
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).
Re:How to Become a Data Scientist, Part 2
by mastazi on Sunday August 07, 2016 @08:46PM
(#12244691)
Mmmmh 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.
"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).