Isbn: 9783659949319 - machine learning applications in concrete strength prediction

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning Approaches to Concrete Strength Prediction combines traditional engineering with modern data science, reshaping how we predict concrete strength. Focusing on concrete mixes that use sand, manufactured sand (M-sand), and laterite soil as fine aggregates, this book provides a practical guide to machine learning techniques like Linear Regression, Decision Trees, Random Forest, Support Vector Regression, and Gradient Boosting. With clear explanations and a real-world case study, it equips readers with the knowledge to apply data-driven approaches in construction. …

Machine Learning Applications in Concrete Strength Prediction

Altamashuddin Khan Nadeemallah

Idioma: Inglés

Editorial: LAP LAMBERT Academic Publishing Nov 2024, 2024

3659949310 / 9783659949319

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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Condición: Nuevo

EUR 43,90

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Se envía de Alemania a Estados Unidos de America

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine Learning Approaches to Concrete Strength Prediction combines traditional engineering with modern data science, reshaping how we predict concrete strength. Focusing on concrete mixes that use sand, manufactured sand (M-sand), and laterite soil as fine aggregates, this book provides a practical guide to machine learning techniques like Linear Regression, Decision Trees, Random Forest, Support Vector Regression, and Gradient Boosting. With clear explanations and a real-world case study, it equips readers with the knowledge to apply data-driven approaches in construction.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. …

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