March 2019
Intermediate to advanced
576 pages
20h 51m
Portuguese (Portugal, Brazil)
Content preview from Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
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154 | Capítulo 5: Máquinas de Vetores de Suporte
Figura 5-6. Classificador Linear SVM com a utilização de características polinomiais
Kernel Polinomial
Implementar a adição de características polinomiais é simples e pode funcionar bem
em todos os tipos de algoritmos de Aprendizado de Máquina (não apenas as SVMs),
mas com um baixo grau polinomial não podemos lidar com conjuntos de dados muito
complexo, e com um alto grau polinomial criamos um grande número de características,
o que torna o modelo muito mais lento.
Felizmente, ao utilizar as SVM, aplicamos uma técnica matemática quase milagrosa cha-
mada truque do kernel (que já será explicado). ...
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