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

product: TensorFlow - General; fullname: Di Dang; re_ty: Publish;
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Great presentation with many valuable insights not just for product managers or creators, but also the data scientists that create or fine-tune the models. Definitely something to recommend to anyone in the AI/ML field :) Thanks!

timoose
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High-level but a great intro to this concept. Very helpful in thinking about choosing an ml side project

machinelearninginterview
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Great video as always but this content is extremely valuable for us developers, thanks!

rwp
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Thanks for tremendously informative and practical video for project and product management within ML. I have a question from non UX professional's perspective, what "XFN discusions" stands for?

spkt