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[Jeff P]

Imo, valid questions -- every one of them.

But the last one is of particular interest to me:

Originally Posted by ReplayRandall

.....Lastly, what percentage of "blend" do you give big data when combined with thick data for optimal results/profits?

You mentioned something that I think is a valid point:

Originally Posted by ReplayRandall

.....The list is quite long and very subjective for establishing "what is good thick data", versus mediocre data.

One approach that seems to be working (for me) has been to get both big data and thick data into a data set.

And from there run a statistical analysis (mlr, tda, what have you) on the intersection of big data and thick data.

If you've made a valid thick data observation: Your stat analysis should suggest that incremental improvement can be had by adding a thick data observation to an existing big data model.


-jp

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