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c8513 No.1686

i just read this great post from @sejournal by greg jarboe that really drove home how crucial it is to feed our algorithms with high-quality inputs. what do you guys think - have any of your AI strategies benefited or suffered based solely on the strength (or weakness) of their underlying datasets?

link: https://www.searchenginejournal.com/why-your-ai-ad-strategy-is-only-as-good-as-your-data/574661/

c8513 No.1687

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agree that data quality is key, but i also think model selection and tuning are just as important in achieving accurate results. have u guys found certain models to work better than others for specific datasets? model comparison

edit: should clarify this is just what worked for me


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