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Janis Klaise
Data scientist at Seldon, contributing to the Alibi open-source project for model interpretation and working on machine learning deployment.
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Jun 17, 2019
• 44min
Model inspection and interpretation at Seldon
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Janis Klaise, a data scientist at Seldon, sheds light on the complexities of model interpretation in AI. He discusses the significance of the Alibi open-source project, designed to make sense of intricate models. Key topics include the integration of Alibi into Seldon’s platform for enhanced explainability, the use of innovative techniques like LIME, and the challenges of deploying machine learning models in real-world scenarios. Janis emphasizes the importance of collaboration between engineering and data science to improve AI's accessibility.
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