Name: Machine Learning and Clustering for a Sustainable Future: Applications in Engineering and Environmental Science (Studies in Computational Intelligence) (en Inglés)
SKU: 69334989
Price: 208570.00 CLP
Availability: InStock
Author: Alma Yunuen Raya-Tapia;Francisco Javier López-Flores;César Ramírez-Márquez;José María Ponce-Ortega
ISBN: 9783032038784

portada Machine Learning and Clustering for a Sustainable Future: Applications in Engineering and Environmental Science (Studies in Computational Intelligence) (en Inglés)

Machine Learning and Clustering for a Sustainable Future: Applications in Engineering and Environmental Science (Studies in Computational Intelligence) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Alma Yunuen Raya-Tapia;Francisco Javier López-Flores;César Ramírez-Márquez;José María Ponce-Ortega

Idioma

Inglés

Encuadernación

Tapa Blanda

ISBN13

9783032038784

Machine Learning and Clustering for a Sustainable Future: Applications in Engineering and Environmental Science (Studies in Computational Intelligence) (en Inglés)

Alma Yunuen Raya-Tapia;Francisco Javier López-Flores;César Ramírez-Márquez;José María Ponce-Ortega (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 22 a 26 días háb.

$ 417.130$ 208.570

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 208.570

Llega entre el 30 Nov y el 04 Dic a Santiago, Región Metropolitana. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Machine Learning and Clustering for a Sustainable Future: Applications in Engineering and Environmental Science (Studies in Computational Intelligence) (en Inglés)"

This book explores cutting-edge machine learning and clustering techniques to tackle critical challenges in engineering, environmental science, and sustainability. The book provides an in-depth examination of clustering methodologies, covering unsupervised and supervised techniques, data preprocessing, distance metrics, and cluster validation methods such as the elbow and silhouette techniques.Readers will find practical insights into applying these methods to real-world problems, including clustering greenhouse gas emissions, optimizing energy systems, and analyzing the energy-food nexus in the context of global crises. By integrating theoretical foundations with hands-on applications, this book serves as a valuable resource for researchers, engineers, and professionals seeking data-driven solutions for sustainability challenges. Read more