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portada Welding and Cutting Case Studies with Supervised Machine Learning
Type
Physical Book
Publisher
Language
English
Pages
249
Format
Hardcover
Dimensions
23.4x15.6x1.6 cm
Weight
0.54 kg.
ISBN13
9789811393815

Welding and Cutting Case Studies with Supervised Machine Learning

Rajeev Kamal (Author) · Abhinav Karan (Author) · Springer · Hardcover

Welding and Cutting Case Studies with Supervised Machine Learning - Vendan, S. Arungalai ; Kamal, Rajeev ; Karan, Abhinav

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Synopsis "Welding and Cutting Case Studies with Supervised Machine Learning"

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.

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