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Data-Driven Modelling Of Non-Domestic Buildings Energy Performance
Supporting Building Retrofit Planning
idioma: inglês
Editor:
Springer Nature Switzerland AG, Janeiro de 2021 ‧
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162,21€
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SINOPSE
It explains how to determine the appropriate machine learning (ML) model, explores the selection and expansion of a reasonable dataset and discusses the extraction of relevant features and maximisation of model accuracy.This book develops a framework for the quick selection of a ML model based on the data and application.
DETALHES
| Propriedade | Descrição |
|---|---|
| ISBN: | 9783030647506 |
| Editor: | Springer Nature Switzerland AG |
| Data de Lançamento: | Janeiro de 2021 |
| Idioma: | Inglês |
| Dimensões: | 155 x 235 x 20 mm |
| Encadernação: | Capa dura |
| Páginas: | 153 |
| Tipo de produto: | Livro |
| Coleção: | Green Energy And Technology |
| Classificação Temática: |
Livros em Inglês
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Arte
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Arquitetura
Livros em Inglês > Outros |
| EAN: | 9783030647506 |
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