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Model inspection and interpretation at Seldon (Practical AI #48)
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
- “The Foundation Series” by Isaac Asimov
- “Interpretable Machine Learning” by Christoph Molnar
Something missing or broken? PRs welcome!