parameter tuning
[ˈpærəmɪtər ˈtuːnɪŋ]
nounpl: parameter tunings
ajuste de parâmetros
1. The process of adjusting the values of parameters in a model, algorithm, or system to optimize its performance
Parameter tuning is essential for improving machine learning model accuracy.
O ajuste de parâmetros é essencial para melhorar a precisão do modelo de aprendizado de máquina.
2. Fine-tuning hyperparameters or configuration settings to achieve better results in computational or engineering applications
The data scientist spent weeks on parameter tuning to reduce prediction errors.
O cientista de dados passou semanas ajustando parâmetros para reduzir erros de previsão.
Parameter tuning is fundamental terminology in Brazilian tech and AI sectors, particularly in São Paulo's burgeoning tech hub. The term is predominantly used in English even in Portuguese-speaking contexts, though 'ajuste de parâmetros' is the standard technical translation. In the USA, this term is ubiquitous in machine learning and data science communities.
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