Introduction to machine learning with R
Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing, [China] :
O'Reilly
2018.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631125706719 |
Tabla de Contenidos:
- What is a model?
- Supervised and unsupervised machine learning
- Sampling statistics and model training in R
- Regression in a nutshell
- Neural networks in a nutshell
- Tree-based methods
- Other advanced methods
- Machine learning with the caret package
- Encyclopedia of machine learning models in caret.
