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MLSea: A Semantic Layer for Discoverable Machine Learning
Published on 2024-05-3144 Views
With the Machine Learning (ML) field rapidly evolving, ML pipelines continuously grow in numbers, complexity and components. Online platforms (e.g., OpenML, Kaggle) aim to gather and disseminate ML e
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Presentation
MLSea: A Semantic Layer for Discoverable Machine Learning00:00
The State of Machine Learning00:17
Reproducibility Crisis in Machine Learning - 101:16
Reproducibility Crisis in Machine Learning - 202:49
MLSea: Semantically Enhanced Machine Learning03:34
MLSO: Machine Learning Sailor Ontology - 104:17
MLSO: Machine Learning Sailor Ontology - 204:33
MLSO: Machine Learning Sailor Ontology - 304:45
MLSO: Machine Learning Sailor Ontology - 404:48
MLSO: Machine Learning Sailor Ontology - 505:09
MLSO: Machine Learning Sailor Ontology - 605:17
MLSO: Machine Learning Sailor Ontology - 705:24
MLST: Machine Learning Sailor Taxonomies - 105:31
MLST: Machine Learning Sailor Taxonomies - 206:04
MLSea-KG: A Machine Learning Knowledge Graph - 106:55
MLSea-KG: A Machine Learning Knowledge Graph - 208:05
MLSea-KG: Information Retrieval Examples - 108:30
MLSea-KG: Information Retrieval Examples - 209:03
MLSea-KG: Information Retrieval Examples - 309:28
MLSeascape: Seamless discovery of MLSea-KG10:04
Potential Impact of MLSea11:14
Thank you!13:24