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.
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| Format: | Video |
| Language: | Inglés |
| Published: |
[Place of publication not identified] :
Manning Publications
2020.
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| Edition: | [First edition] |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820377606719 |
| Summary: | 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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| Physical Description: | 1 online resource (1 video file (58 min.)) : sound, color |
