feature space
[ˈfiːtʃər speɪs]
nounpl: feature spaces
espaço de características
1. In machine learning and data science, a mathematical space in which features (variables or attributes) of data points are represented as coordinates or dimensions
The algorithm projects the data points onto a feature space to identify patterns and clusters.
O algoritmo projeta os pontos de dados em um espaço de características para identificar padrões e agrupamentos.
2. A multidimensional representation where each dimension corresponds to a feature extracted from raw data
In natural language processing, words are often mapped into a feature space using word embeddings.
No processamento de linguagem natural, as palavras são frequentemente mapeadas em um espaço de características usando incorporação de palavras.
3. The coordinate system within which machine learning models operate to make classifications or predictions
The classifier learned to separate classes more effectively after transforming the data into a higher-dimensional feature space.
O classificador aprendeu a separar classes de forma mais eficaz após transformar os dados em um espaço de características de dimensão superior.
This is specialized technical terminology primarily used in machine learning, data science, and artificial intelligence fields. It is equally understood in both Brazil and Portugal among technical professionals, with no significant cultural or regional variation. The term reflects the global nature of computer science and technology, where English terminology is often retained or directly translated. In Brazilian tech communities, especially in São Paulo and Rio de Janeiro tech hubs, professionals commonly use both the Portuguese 'espaço de características' and the English 'feature space' interchangeably in technical discussions.
Related Idioms & Phrases
mapping into feature space
navigating the feature space
exploring the feature space
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