dataset transfer
[/ˈdeɪtəsɛt ˈtrænsfɚ/]
nounpl: dataset transfers
transferência de conjunto de dados
1. The process of moving, copying, or sharing a collection of organized data from one location, system, or entity to another
The dataset transfer from the legacy system to the cloud platform took several hours.
A transferência de conjunto de dados do sistema legado para a plataforma em nuvem levou várias horas.
2. In machine learning, the technique of applying knowledge learned from one dataset to improve learning on a different but related dataset
Dataset transfer learning allows models trained on large datasets to perform better on smaller datasets.
A transferência de conjunto de dados de aprendizagem permite que modelos treinados em conjuntos de dados grandes tenham melhor desempenho em conjuntos de dados menores.
This is a technical term widely used in IT and data science industries in both Brazil and the United States. In Brazilian tech companies, especially in São Paulo's growing tech hub, the term is increasingly used in discussions about cloud migration and artificial intelligence projects. The concept gained prominence with the rise of big data and machine learning applications across different sectors.
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