computational inference
[kɒmpjuːˈteɪʃənəl ˈɪnfərəns]
nounpl: computational inferences
inferência computacional
1. The process of deriving conclusions or making predictions using computational methods and algorithms, typically based on data analysis, machine learning models, or logical reasoning systems
Computational inference allows the system to predict customer behavior based on historical data.
A inferência computacional permite que o sistema preveja o comportamento do cliente com base em dados históricos.
2. In machine learning and artificial intelligence, the execution of a trained model to make predictions on new, unseen data
During computational inference, the neural network processes input features to generate predictions.
Durante a inferência computacional, a rede neural processa características de entrada para gerar previsões.
3. The application of statistical or probabilistic reasoning through computer algorithms to draw conclusions from incomplete information
Bayesian computational inference is used to estimate unknown parameters in complex models.
A inferência computacional Bayesiana é usada para estimar parâmetros desconhecidos em modelos complexos.
Computational inference has become increasingly important in Brazil and Portugal as artificial intelligence and machine learning applications grow in business, academia, and research sectors. The term is primarily used in technical and scientific contexts, particularly in tech companies, universities, and research institutions. In the USA, it's widely used in Silicon Valley and AI research communities, but the concept is relatively newer to mainstream Portuguese-speaking business contexts compared to English-speaking tech hubs.
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