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Training a support vector machine in R with mlr. part 1 /
A senior laboratory research scientist at the Francis Crick Institute and Manning's author, Hefin I. Rhys, explains how the SVM algorithm works and teaches you how to train, tune, and cross-validate an SVM model using R Studio and the awesome mlr machine learning package.
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Manning Publications,
2020.
|
| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 520 | |a A senior laboratory research scientist at the Francis Crick Institute and Manning's author, Hefin I. Rhys, explains how the SVM algorithm works and teaches you how to train, tune, and cross-validate an SVM model using R Studio and the awesome mlr machine learning package. | ||
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