TLDR
Data bias in machine learning is a type of error in which certain elements of a dataset are more heavily weighted and/or represented than others. A biased dataset does not accurately represent a model’s use case, resulting in skewed outcomes, low accuracy levels, and analytical errors.via the TL;DR App
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Written by Hent03 | I'm interested in the AI trends that shape how people and technology intersect and interact.