Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Welding and Cutting Case Studies with Supervised Machine Learning

Welding and Cutting Case Studies with Supervised Machine Learning

Kamal, Rajeev
Karan, Abhinav
Vendan, S. Arungalai

Paperback

Series: Engineering Applications of Computational Methods, Book 1

Technology & EngineeringGeneral Computers

ISBN10: 9811393842
ISBN13: 9789811393846
Publisher: Springer Nature
Published: Jul 16 2021
Pages: 249
Weight: 0.81
Height: 0.55 Width: 6.14 Depth: 9.21
Language: English

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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