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Crafting a Knowledge Graph: The Semantic Data Modeling Way

Ontotext

Yet, the concept of knowledge graphs still lives without an agreed-upon description or shared understanding. The W3C has dedicated a special workshop to talk through the different approaches to building these big data structures. Ontotext’s 10 Steps of Crafting a Knowledge Graph With Semantic Data Modeling.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139