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Data-centric AI Brown Bag: AI Reproducibility, AI Readiness, and FAIR

DGIT and the UCLA Library
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Amidst the backdrop of powerful AI engines producing essays and pirate shanties, it’s easy to forget that machine learning (ML) is still an onerous process for many that begins with finding and cleaning data. AI/ML relies on machine actionable data and adds complexity to an already difficult task for data stewards, research computing facilitators, and...

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