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ample bias Sample bias drop zone empty. Prejudice bias Prejudice bias drop zone empty. Measurement bias Measurement bias drop zone empty. Variance bias Variance bias
ample bias
Sample bias drop zone empty.
Prejudice bias
Prejudice bias drop zone empty.
Measurement bias
Measurement bias drop zone empty.
Variance bias
Variance bias drop zone empty.
A problem caused by using incorrect training data to train the machine.
A problem caused by using training data that is influenced by cultural or other stereotypes.
A problem caused by using collected data that skews the data in one direction.
A problem caused by having a mathematical property of an algorithm.
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