Definition: Machine Learning ABB is a Technology service that enables the procedures for implementing algorithms and models that can learn from and make predictions on data Source: European Comision-White paper on AI Source reference: https://commission.europa.eu/system/files/2020-02/commission-white-paper-artificial-intelligence-feb2020_en.pdf Example: The following implementation is an example on how this specific Architecture Building Block (ABB) can be instantiated as a Solution Building Block (SBB): AI Whatch Artificial Intelligence in public administrations. https://publications.jrc.ec.europa.eu/repository/bitstream/JRC120399/jrc120399_misuraca-ai-watch_public-services_30062020_def.pdf Interoperability Dimension: Structural IoP LOST view: Technical view - infrastructure Interoperability Saliency: Machine Learning ABB is salient for semantic interoperability because it refers to the generation of newer insights (knowledge) from public data to generate (i) new curated datasets and/or (ii) new public data assets based on the combination of other public data. Identifier: http://data.europa.eu/dr8/MachineLearningTechnologyService ABB name: eira:MachineLearningTechnologyService EIRA concept: eira:ArchitectureBuildingBlock Last modification: 2024-01-28 Identifier: http://data.europa.eu/dr8/MachineLearningTechnologyService Interoperability Layer: TechnicalInfrastructure