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
Machine Learning for Engineering Applications

Machine Learning for Engineering Applications

Jin, Yan

Hardcover

Technology & EngineeringGeneral ComputersProbability & Statistics

PREORDER - Expected ship date October 28, 2026

ISBN10: 3032295114
ISBN13: 9783032295118
Publisher: Springer
Published: Oct 28 2026
Pages: 1141
Language: English
The book begins by presenting the necessary mathematical foundations in an accessible, engineering-centered way and then builds up machine learning (ML) concepts step by step, always linking them to engineering scenarios and real-world datasets. Engineering is being transformed by the data revolution: from smart manufacturing and sensor-rich infrastructure to predictive maintenance, autonomous systems, and intelligent product design. However, despite the explosion of ML in industry, there is a shortage of resources that systematically teach ML methods to engineers from a perspective of engineering applications and in a language and examples they understand. This book addresses this gap, helping engineers acquire both the mathematical confidence and ML know-how to lead and innovate in a rapidly evolving field.

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