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	Podcast:		Practical AI
	Episode:		Model inspection and interpretation at Seldon
	Category:		Technology
	Duration:		00:43:44
	Publish Date:		2019-06-17 10:09:18
	Description:		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. Discuss on Changelog News Sponsors DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog. DataEngPodcast – A podcast about data engineering and modern data infrastructure. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring Janis Klaise – Twitter, GitHub, LinkedIn Chris Benson – Twitter, GitHub, LinkedIn, Website Daniel Whitenack – Twitter, GitHub, Website Notes and Links Seldon Seldon Core Alibi Christoph Molnar’s book, “Interpretable Machine Learning”
	Total Play:		0