Support Vector Machine (SVM)
[/səˈpɔrt ˈvɛktər məˈʃin/]
nounpl: Support Vector Machines (SVMs)
Máquina de Vetores de Suporte (MVS)
1. A supervised machine learning algorithm used for classification and regression tasks by finding the optimal hyperplane that maximizes the margin between different classes in a high-dimensional space
The support vector machine successfully classified the email messages as spam or not spam with 95% accuracy.
A máquina de vetores de suporte classificou com sucesso as mensagens de email como spam ou não spam com 95% de precisão.
2. A statistical learning method that transforms data into a higher-dimensional space to make it linearly separable using kernel functions
By using a kernel trick, the support vector machine can handle non-linear classification problems efficiently.
Ao usar um truque de kernel, a máquina de vetores de suporte pode lidar com problemas de classificação não linear de forma eficiente.
SVM is a foundational algorithm in machine learning education and industry practices in both Brazil and the USA. In Brazilian tech communities, the term is often used alongside English acronyms in technical discussions. In academic settings, both Portuguese and English terms are accepted, though Portuguese is preferred in formal documentation. SVMs are extensively taught in computer science and engineering programs across Brazil and are commonly used in applied machine learning projects in both countries.
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