Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2025
Berlin, Heidelberg Springer |
| Ausgabe: | 1st ed. 2025 |
| Schlagworte: | |
| Online-Zugang: | DE-522 DE-634 DE-1043 DE-1102 DE-1046 DE-1028 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-1051 DE-898 DE-859 DE-860 DE-1049 DE-863 DE-862 DE-91 DE-384 DE-703 DE-706 DE-824 DE-29 Volltext |
| Beschreibung: | 1 Online-Ressource (XVII, 241 p. 223 illus., 173 illus. in color) |
| ISBN: | 9783662699959 |
| DOI: | 10.1007/978-3-662-69995-9 |
Internformat
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Datensatz im Suchindex
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| adam_text | |
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| author | Neuer, Marcus J. |
| author_facet | Neuer, Marcus J. |
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| author_sort | Neuer, Marcus J. |
| author_variant | m j n mj mjn |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
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| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-662-69995-9 |
| edition | 1st ed. 2025 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2025-02-20T07:04:03Z |
| institution | BVB |
| isbn | 9783662699959 |
| language | English |
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| psigel | ZDB-2-SPAI ZDB-2-SPAI_2025 |
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| spellingShingle | Neuer, Marcus J. Machine Learning for Engineers Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications Artificial Intelligence Machine Learning Multiagent Systems Data Science Computational Intelligence Mathematical and Computational Engineering Applications Artificial intelligence Machine learning Multiagent systems Artificial intelligence / Data processing Computational intelligence Engineering mathematics Engineering / Data processing |
| title | Machine Learning for Engineers Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications |
| title_auth | Machine Learning for Engineers Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications |
| title_exact_search | Machine Learning for Engineers Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications |
| title_full | Machine Learning for Engineers Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications by Marcus J. Neuer |
| title_fullStr | Machine Learning for Engineers Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications by Marcus J. Neuer |
| title_full_unstemmed | Machine Learning for Engineers Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications by Marcus J. Neuer |
| title_short | Machine Learning for Engineers |
| title_sort | machine learning for engineers introduction to physics informed explainable learning methods for ai in engineering applications |
| title_sub | Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications |
| topic | Artificial Intelligence Machine Learning Multiagent Systems Data Science Computational Intelligence Mathematical and Computational Engineering Applications Artificial intelligence Machine learning Multiagent systems Artificial intelligence / Data processing Computational intelligence Engineering mathematics Engineering / Data processing |
| topic_facet | Artificial Intelligence Machine Learning Multiagent Systems Data Science Computational Intelligence Mathematical and Computational Engineering Applications Artificial intelligence Machine learning Multiagent systems Artificial intelligence / Data processing Computational intelligence Engineering mathematics Engineering / Data processing |
| url | https://doi.org/10.1007/978-3-662-69995-9 |
| work_keys_str_mv | AT neuermarcusj machinelearningforengineersintroductiontophysicsinformedexplainablelearningmethodsforaiinengineeringapplications |