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Bias in the model can happen through different stages of the modeling process. The most important stage is data selection and sometimes bias is the result of selection of the data itself, rather than an error with labeling the data. In this latest DSC podcast we will talk about different categories of data bias and different approaches to avoid a bias decision as a result of low quality data. Download now
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