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> What on earth is this supposed to mean? An ML algorithm doesn't care about how fast data "arrives".

My guess is that he's referring to the resolution of a time series. E.g. Going from months to weeks is 'more' data, but makes your models worse.



Good point. If I retrofit the term "resolution" in place of "velocity", the author's statement does make a lot more sense. If that's what was intended they really should have used that terminology, because I was similarly confused at the term "velocity."

Whenever I've worked with time series data I've always referred to the granularity of the time dimension as its "resolution" - this is also common in geospatial data. I don't think (but am happy to be corrected) that "velocity" is a term of art in timeseries analysis.


Ya I was confused by it at first too, it definitely could have been more clear. But it's also been my experience with time series that more resolution isn't always better.




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