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empty_string_ t1_iw1j6oi wrote

Data is data. It is trivial to save and load. If you can process it, you can save it.

In machine learning it's not groundbreaking to save a learning set and then start a new one. It's like saving or loading anything else.. The neat thing that it sounds like these people have done (presumably, since no real detail is given), is create some sort of fancy algorithm for deciding HOW and WHEN these different data banks are saved, loaded, and used in relation to one another.

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