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How Open-Source Data Labeling Technology can Mitigate Bias
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Author: Sean Michael Kerner; Publisher: VentureBeat; Publication Year: 2022. The following article discusses how when labeling data for modeling and machine learning, the person labeling the data can accidently introduce bias to the models. This article argues that an open-source way to model (i.e. let a group of people label the data) can help to…
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Big Data in Food Safety – A Review
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Author: Cangyu Jin, Yamine Bouzembrak, Jiehong Zhou, Qiao Liang, Leonieke M.van den Bulk, Anand Gavai, Ningjing Liu, Lukas J.van den Heuvel, Wouter Hoenderdaal, Hans J.P. Marvin; Publisher: Current Opinion in Food Science; Publication Year: 2020. The following article discusses how big data plays an increasingly important role in food safety. This paper identifies potential sources…
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