Machine Learning for Engineers
Neuer, Marcus J.
Produktnummer:
185480a4d0173d40c9a3936d2b4a447b6e
Autor: | Neuer, Marcus J. |
---|---|
Themengebiete: | Artificial Intelligence Data Science Explainable AI Learning Methods Machine Learning Python Reinforced Learning Stochastics Supervised Learning Unsupervised Learning |
Veröffentlichungsdatum: | 30.11.2024 |
EAN: | 9783662699942 |
Sprache: | Englisch |
Seitenzahl: | 241 |
Produktart: | Kartoniert / Broschiert |
Verlag: | Springer Berlin |
Untertitel: | Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications |
Produktinformationen "Machine Learning for Engineers"
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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