If you have a signal where a certain portion of points are noise, and a certain portion of points are "interesting", what's the "best" way to determine which points are "interesting" as they come in over time?
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Love it when two different perspectives offer “solutions”, out of the box i thought in an ML way (instead of signal processing)
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Same. It's a spectrum with no wrong answers - and a lot of working set / env / contextual / need bias and diversity!
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