Training a support vector machine in R with mlr. part 1

Training a support vector machine in R with mlr part 1 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
Autor Corporativo: Manning (Firm), publisher (publisher)
Otros Autores: Rhys, Hefin, I., presenter (presenter)
Formato: Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Manning Publications 2020.
Edición:[First edition]
Materias:
Machine learning.
R (Computer program language)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820377606719
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

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