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MLSea: A Semantic Layer for Discoverable Machine Learning
Published on Jun 18, 202433 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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Chapter list
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
Reproducibility Crisis in Machine Learning - 110:36
Reproducibility Crisis in Machine Learning - 210:49
Potential Impact of MLSea11:14
Thank you!13:24