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Garbage in means you have too much noise over signal coming in. You might be able to call current society garbage if you wish, but from an ML perspective it’s n
by azinman2 5y ago
Garbage in means you have too much noise over signal coming in. You might be able to call current society garbage if you wish, but from an ML perspective it’s not accurate to say arbitrary input is garbage if it indeed is high quality data that reflects society as it is, or if you only have data on a certain set of classes but what you have is noiseless.
- nerdponx 5y agoIf you are studying criminality and using conviction record data, I think it's fair to say that the biased introduced by biased policing, biased laws, etc. is a form of "garbage-ness" in the data, in that it might not reflect the reality that you were trying to model.
- Graffur 5y agoBiased data is garbage if your aim is to have unbiased results...