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Data-Driven Modelling of Non-Domestic Buildings Energy Performance: Supporting Building Retrofit Planning - Green Energy and Technology Saleh Seyedzadeh 2021 edition
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Data-Driven Modelling of Non-Domestic Buildings Energy Performance: Supporting Building Retrofit Planning - Green Energy and Technology
Saleh Seyedzadeh
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.
153 pages, 48 Illustrations, color; XIV, 153 p. 48 illus. in color.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 16. janvāris |
| ISBN13 | 9783030647537 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 153 |
| Izmēri | 150 × 220 × 10 mm · 267 g |
| Valoda | Vācu |
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