first-order algorithms
[/ˈfɜːrst ˈɔːrdər ˈælɡərɪðəmz/]
nounpl: first-order algorithms
algoritmos de primeira ordem
1. Optimization algorithms that use only first-order derivative information (gradients) to update parameters iteratively, without using second-order derivatives (Hessian matrices)
Gradient descent is one of the most common first-order algorithms used in machine learning.
O gradiente descendente é um dos algoritmos de primeira ordem mais comuns usados em aprendizado de máquina.
2. Computational methods that compute derivatives up to the first order to solve optimization problems efficiently with lower computational cost
First-order algorithms are preferred for large-scale machine learning because they require less memory and computation than second-order methods.
Algoritmos de primeira ordem são preferidos para aprendizado de máquina em larga escala porque exigem menos memória e computação do que métodos de segunda ordem.
This is specialized technical terminology primarily used in academic and professional contexts within computer science, mathematics, and machine learning fields. The term is used identically in both Brazilian and European Portuguese technical literature, reflecting the international nature of scientific nomenclature.
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