📚 node [[bias]]

Bias

Go to [[Week 2 - Introduction]] or back to the [[Main AI Page]]

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.

📖 stoas
⥱ context
⥅ related node [[20200711012441 survivorship_bias]]
⥅ related node [[4 bias]]
⥅ related node [[algorithmic bias and racism]]
⥅ related node [[automation_bias]]
⥅ related node [[bias_(ethics fairness)]]
⥅ related node [[bias_(math)]]
⥅ related node [[biased data sets]]
⥅ related node [[confirmation bias]]
⥅ related node [[confirmation_bias]]
⥅ related node [[coverage_bias]]
⥅ related node [[experimenter s_bias]]
⥅ related node [[flancian]]
⥅ related node [[group_attribution_bias]]
⥅ related node [[i m going to have to point out that this survey will be biased]]
⥅ related node [[implicit_bias]]
⥅ related node [[in group_bias]]
⥅ related node [[main ai page]]
⥅ related node [[neural networks]]
⥅ 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 [[week 2 introduction]]