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John Sandall

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How To Measure And Mitigate Unfair Bias in Machine Learning ModelsPyData London 20252025-06-06
Hands-on workshop that builds a biased hiring pipeline and then fixes it: generates 400 synthetic CVs with OpenAI, injects names and clues, trains sklearn /…
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Fairness Tales: How To Measure And Mitigate Unfair Bias in Machine Learning ModelsPyData Global 20242024-12-03
Workshop generates a synthetic 400 CV dataset (OpenAI) and a biased recruiter simulator that produces a 41% callback baseline and a male callback rate ~70% vs…
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Building A Folk Music Recommendation System with LLMsPyData London 20242024-06-14
Shows a concrete pipeline: embed 46,000 folk tunes with OpenAI text-embedding-3-small, cluster (KMeans and variants), visualize with UMAP, and validate…
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