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Machine Learning for Engineers
- Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
Engelsk Paperback
Machine Learning for Engineers
- Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
Engelsk Paperback

478 kr
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Om denne bog
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.
Product detaljer
Sprog:
Engelsk
Sider:
241
ISBN-13:
9783662699942
Indbinding:
Paperback
Udgave:
ISBN-10:
366269994X
Kategori:
Udg. Dato:
30 nov 2024
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Oplagsdato:
30 nov 2024
Forfatter(e):
Kategori sammenhænge