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It sounded a lot like the interviewer didn't have enough expertise to do much over key of "Kalman filter" as sounding vaguely big data-ey. Too bad.
by tel 13y ago
It sounded a lot like the interviewer didn't have enough expertise to do much over key of "Kalman filter" as sounding vaguely big data-ey. Too bad.
- gpcz 13y agoThat may be a part of it. The problem was only described in vague terms, so there's probably a reason why a Kalman filter makes sense, but as it was described in the interview it seemed more like a regression problem to me.