Téléchargez le livre : Welding and Cutting Case Studies with Supervised Machine Learning

Welding and Cutting Case Studies with Supervised Machine Learning

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Éditeur :

Springer


Collection :

Engineering Applications of Computational Methods

Paru le : 2020-06-03

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Description

This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses the parametrical interdependencies of two entities, namely the data analysis and data visualization techniques, which form the core of machine learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with an introduction to machine learning for applied sciences, enabling them to address global competitiveness and work on real-time technical challenges, it is also a valuable resource for scholars with domain knowledge.
Pages
249 pages
Collection
Engineering Applications of Computational Methods
Parution
2020-06-03
Marque
Springer
EAN papier
9789811393815
EAN PDF
9789811393822
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
20224 Ko
Prix
94,94 €
EAN EPUB
9789811393822
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
102564 Ko
Prix
94,94 €

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