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Machine Learning for Engineers
- Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
Engelsk
Bogcover for Machine Learning for Engineers af Marcus J. Neuer, 9783662699942
Specifikationer
Sprog:
Engelsk
Sider:
241
ISBN-13:
9783662699942
Indbinding:
Paperback
ISBN-10:
366269994X
Kategori:
Udg. Dato:
30 nov 2024
Størrelse i cm:
23,5 x 15,5
Oplagsdato:
30 nov 2024
Forfatter(e):

Machine Learning for Engineers

- Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
Engelsk
Paperback 2024
Format:

Bog beskrivelse

Machine learning and artificial intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-world problems is often difficult and complex.

This textbook explains learning methods based on analytical concepts in conjunction with complete programming examples in Python, always referring to real technical application scenarios. It demonstrates the use of physics-informed learning strategies, the incorporation of uncertainty into modeling, and the development of explainable, trustworthy artificial intelligence with the help of specialized databases.

Therefore, this textbook is aimed at students of engineering, natural science, medicine, and business administration as well as practitioners from industry (especially data scientists), developers of expert databases, and software developers.

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524,24 kr
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408 kr
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Specifikationer
Sprog:
Engelsk
Sider:
241
ISBN-13:
9783662699942
Indbinding:
Paperback
ISBN-10:
366269994X
Kategori:
Udg. Dato:
30 nov 2024
Størrelse i cm:
23,5 x 15,5
Oplagsdato:
30 nov 2024
Forfatter(e):
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