Model inspection and interpretation at Seldon
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Interpreting complicated models is a hot topic. How can we trust and manage AI models that we can’t explain? In this episode, Janis Klaise, a data scientist with Seldon, joins us to talk about model interpretation and Seldon’s new open source project called Alibi). Janis also gives some of his thoughts on production ML/AI and how Seldon addresses related problems.

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Featuring:

• Janis Klaise – Twitter), GitHub), LinkedIn)

• Chris Benson – Twitter), GitHub), LinkedIn), Website)

• Daniel Whitenack – Twitter), GitHub), Website)

Show Notes:

• Seldon)

• Seldon Core)

• Alibi)

Books

• “The Foundation Series” by Isaac Asimov)

• “Interpretable Machine Learning” by Christoph Molnar)

Something missing or broken? PRs welcome!)