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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Tyler Lacoma has spent more than 10 years testing tech and studying the latest web tool to help keep readers current. He's here for you when you need a how-to guide, explainer, review, or list of the ...
This post was co-authored by Vinícius Ferraz, Chief Data & AI Officer at ILI.DIGITAL AG. In today's world, algorithms are everywhere—curating our Spotify playlists, suggesting YouTube videos, and even ...
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