hyperparameter optimization
[ˌhaɪ.pər.ˈpær.ə.mi.tər ˌɑp.tə.mə.ˈzeɪ.ʃən]
nounpl: hyperparameter optimizations
otimização de hiperparâmetros
1. The process of selecting the best set of hyperparameters for a machine learning model to improve its performance on a given task
Hyperparameter optimization is crucial for achieving the best model performance in machine learning projects.
A otimização de hiperparâmetros é crucial para alcançar o melhor desempenho do modelo em projetos de aprendizado de máquina.
2. A systematic technique using methods such as grid search, random search, or Bayesian optimization to find optimal hyperparameter values
We used hyperparameter optimization with grid search to tune the neural network.
Usamos otimização de hiperparâmetros com busca em grade para ajustar a rede neural.
This is a technical term widely used in the machine learning and artificial intelligence communities in both Brazil and the USA. In Brazilian tech hubs like São Paulo, professionals often use the English term alongside the Portuguese translation. It has become increasingly important as data science and machine learning roles have grown in both countries. The term is typically used in academic and professional contexts rather than casual conversation.
Look up more words on Fala2Me
The free English-Portuguese dictionary with real Brazilian accents, NYC slang, conjugator and more
Open Fala2Me →