random batching
[ˈrændəm ˈbætʃɪŋ]
noun
agrupamento aleatório
1. A process in machine learning and data processing where training samples are grouped into batches in a random order, rather than following a predetermined sequence.
The neural network uses random batching to improve generalization and reduce overfitting during training.
A rede neural utiliza agrupamento aleatório para melhorar a generalização e reduzir o sobreajuste durante o treinamento.
2. In manufacturing or logistics, the practice of combining items into groups without following a specific order or pattern.
Random batching of orders helped distribute the workload more evenly across the production line.
O agrupamento aleatório de pedidos ajudou a distribuir a carga de trabalho de forma mais uniforme na linha de produção.
3. A sampling technique where data points are selected randomly and grouped into batches for processing or analysis.
Random batching ensures that each subset of data is representative of the overall dataset.
O agrupamento aleatório garante que cada subconjunto de dados seja representativo do conjunto de dados geral.
This term is primarily used in technical and academic contexts in both Brazil and Portugal, particularly in machine learning, artificial intelligence, and data science fields. It has gained prominence with the rise of deep learning and computational data analysis, with little variation in usage between regions.
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