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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Manning Publications, 2020.
Edición:[First edition].
Temas:
Machine learning.
R (Computer program language)
Apprentissage automatique.
R (Langage de programmation)
Webcast
Instructional films.
Internet videos.
Nonfiction films.
Films de formation.
Films autres que de fiction.
Vidéos sur Internet.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Descripción Física:1 online resource (1 video file (58 min.)) : sound, color.
Tiempo de Juego:00:58:00

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