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- Poprzedni odcinek S08E138 - Is Growth Right For You?: Crash Course…
- Numer S08E139
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Strona YouTube
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Ostatnia aktualizacja
24 juillet 2023 - 14:12
na 11 bazach danych -
Algorithmic Bias and Fairness: Crash Course AI #18
Check out Jabril's collab with "Above the Noise" about Deepfakes: https://www.youtube.com/watch?v=Ro8b69VeL9U
Today, we're going to talk about five common types of algorithmic bias we should pay attention to: data that reflects existing biases, unbalanced classes in training data, data that doesn't capture the right value, data that is amplified by feedback loops, and malicious data. Now bias itself isn't necessarily a terrible thing, our brains often use it to take shortcuts by finding patterns, but bias can become a problem if we don't acknowledge exceptions to patterns or if we allow it to discriminate.
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