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Best practices for ML product decisions (ML Tech Talks)

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In this Machine Learning Tech Talks session, Senior UX Designer Di Dang unpacks best practices for ML product decisions using the People AI Guidebook. Learn how UX considerations can impact your AI/ML-based product as much as the technical feasibility itself. Chapters: 0:00 - Introduction 6:08 - User needs & defining success 13:31 - Mental models 24:32 - Explainability & trust 34:34 - Summary and next steps Resources: For more guidance on following a human-centered approach to ML, check out the People AI Guidebook 📖→ 🎥 → Catch more ML Tech Talks → Subscribe to TensorFlow → product: TensorFlow - General; fullname: Di Dang; re_ty: Publish;

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