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Data-Driven Modelling of Non-Domestic Buildings Energy Performance

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In Stock (554)

£ 143.99

Description

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.