Definition: Machine Learning is an application service within the field of Artificial Intelligence that enables systems to automatically learn and improve from experience without being explicitly programmed. It involves the development and deployment of algorithms and models that can analyze large volumes of data, identify patterns, and make predictions or decisions based on the learned patterns.
Source: Journal of Machine Learning Research
LOST view: TVA-Artificial Intelligence Enablers [Motivation]
Identifier: http://data.europa.eu/dr8/egovera/MachineLearningApplicationService
EIRA traceability: eira:ArtificialIntelligenceApplicationService
ABB name: egovera:MachineLearningApplicationService
EIRA concept: eira:ArchitectureBuildingBlock
Last modification: 2023-05-25
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eira:ABB | eira:ArtificialIntelligenceApplicationService |
skos:definition | Machine Learning is an application service within the field of Artificial Intelligence that enables systems to automatically learn and improve from experience without being explicitly programmed. It involves the development and deployment of algorithms and models that can analyze large volumes of data, identify patterns, and make predictions or decisions based on the learned patterns. |
eira:definitionSource | Journal of Machine Learning Research |
eira:definitionSourceReference | |
dct:modified | 2023-05-25 |
eira:concept | eira:ArchitectureBuildingBlock |
eira:PURI | http://data.europa.eu/dr8/egovera/MachineLearningApplicationService |
dct:type | egovera:MachineLearningApplicationService |
eira:view | TVA-Artificial Intelligence Enablers [Motivation] |
eira:view | TVA-Functional Architecture Principles |
eira:view | TVI-Artificial Intelligence Infrastructure Enablers [Motivation] |
eira:view | TVI-Computing Infrastructure Enablers [Motivation] |
eira:view | TVI-Networking Infrastructure Enablers [Motivation] |
eira:view | Technical view - application |