An introduction to statistical learning with applications in Python
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. Thi...
| Otros Autores: | , , , , |
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| Formato: | Libro |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing
[2023]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009851440006719 |
Tabla de Contenidos:
- Introduction
- Statistical Learning
- Linear Regression
- Classification
- Resampling Methods
- Linear Model Selection and Regularization
- Moving Beyond Linearity
- Tree-Based Methods
- Support Vector Machines
- Deep Learning
- Survival Analysis and Censored data
- Unsupervised Learning
- Multiple Testing
- Index.
