Bias

Part of the page on [[Neural Networks]]

Bias is a special type of weight that applies to a node after the other weights have been considered.

#ToDo Expand on the definition of Bias.

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⥅ related node [[confirmation bias]]

⥅ related node [[4 bias]]

⥅ related node [[automation_bias]]

⥅ related node [[bias_(ethics fairness)]]

⥅ related node [[bias_(math)]]

⥅ related node [[confirmation_bias]]

⥅ related node [[coverage_bias]]

⥅ related node [[experimenter s_bias]]

⥅ related node [[group_attribution_bias]]

⥅ related node [[implicit_bias]]

⥅ related node [[in group_bias]]

⥅ related node [[non response_bias]]

⥅ related node [[out group_homogeneity_bias]]

⥅ related node [[participation_bias]]

⥅ related node [[prediction_bias]]

⥅ related node [[reporting_bias]]

⥅ related node [[sampling_bias]]

⥅ related node [[selection_bias]]

⥅ related node [[algorithmic bias and racism]]

⥅ related node [[biased data sets]]

⥅ related node [[my biases]]

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