Hyperparameter tuning with Python boost your machine learning model's performance via hyperparameter tuning
This book curates numerous hyperparameter tuning methods for Python all in one place, providing a deep explanation of how each method works, and a decision map that can help you choose which hyperparameter tuning method is right for your specific problem and situation.
Otros Autores: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Birmingham, England :
Packt Publishing
[2022]
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Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009672597406719 |
Sumario: | This book curates numerous hyperparameter tuning methods for Python all in one place, providing a deep explanation of how each method works, and a decision map that can help you choose which hyperparameter tuning method is right for your specific problem and situation. |
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Notas: | Includes index. |
Descripción Física: | 1 online resource (306 pages) |
ISBN: | 9781803241944 |