NIST · ИТ · 4da3187815ff5b6f0061
Machine Learning Lifecycle Explorer: Leverage the lifecycle metadata (onto) logically
As machine learning (ML) continues to grow in complexity and importance, effective lifecycle management becomes a critical factor for successful model development and deployment. A key challenge is the management of metadata across the entire ML lifecycle
NIST · ИТОфициальный источник · 2025-08-27
{
"title_en": "Machine Learning Lifecycle Explorer: Leverage the lifecycle metadata (onto) logically",
"designation": "",
"series": "",
"status": "",
"date": "2025-08-27",
"date_original": "August 27, 2025",
"url": "https://www.nist.gov/publications/machine-learning-lifecycle-explorer-leverage-lifecycle-metadata-logically",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Perawit Charoenwut , Milos Drobnjakovic , Hakju Oh , Ana Nikolov , Boonserm Kulvatunyou",
"abstract_excerpt_en": "As machine learning (ML) continues to grow in complexity and importance, effective lifecycle management becomes a critical factor for successful model development and deployment. A key challenge is the management of metadata across the entire ML lifecycle",
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{
"title_en": "Machine Learning Lifecycle Explorer: Leverage the lifecycle metadata (onto) logically",
"designation": "",
"series": "",
"status": "",
"date": "2025-08-27",
"date_original": "August 27, 2025",
"url": "https://www.nist.gov/publications/machine-learning-lifecycle-explorer-leverage-lifecycle-metadata-logically",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Perawit Charoenwut , Milos Drobnjakovic , Hakju Oh , Ana Nikolov , Boonserm Kulvatunyou",
"abstract_excerpt_en": "As machine learning (ML) continues to grow in complexity and importance, effective lifecycle management becomes a critical factor for successful model development and deployment. A key challenge is the management of metadata across the entire ML lifecycle"
}
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