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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.
Buildings That Almost Think For Themselves About Their Occupants The first paper we are very excited to talk about is KnowledgeDiscovery Approach to Understand Occupant Experience in Cross-Domain Semantic Digital Twins by Alex Donkers, Bauke de Vries and Dujuan Yang.
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.
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