Automated Machine Learning in Action
Machine learning tasks like data pre-processing, feature selection, and model optimization can be time-consuming and highly technical. Automated machine learning, or AutoML, applies pre-built solutions to these chores, eliminating errors caused by manual processing. By accelerating and standardizing...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Shelter Island :
Manning Publications
2022.
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| Colección: | ITpro collection
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820517706719 |
Tabla de Contenidos:
- Contents:
- PART 1 FUNDAMENTALS OF AUTOML
- 1 From machine learning to automated machine learning
- 2 The end-to-end pipeline of an ML project
- 3 Deep learning in a nutshell
- PART 2 AUTOML IN PRACTICE
- 4 Automated generation of end-to-end ML solutions
- 5 Customizing the search space by creating AutoML pipelines
- 6 AutoML with a fully customized search space
- PART 3 ADVANCED TOPICS IN AUTOML
- 7 Customizing the search method of AutoML
- 8 Scaling up AutoML
- 9 Wrapping up.
