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| |  Online-Ressource |
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| Verfasst von: | Cunha, Carlo Requião da [VerfasserIn]  |
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| Titel: | Machine learning for the physical sciences |
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| Titelzusatz: | fundamentals and prototyping with Julia |
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| Verf.angabe: | Carlo Requião da Cunha |
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| Ausgabe: | First edition |
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| Verlagsort: | Boca Raton ; London ; New York |
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| Verlag: | CRC Press, Taylor & Francis Group |
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| Jahr: | 2024 |
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| Umfang: | 1 Online-Ressource (xxi, 266 Seiten) |
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| Illustrationen: | Illustrationen, Diagramme |
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| ISBN: | 978-1-003-35010-1 |
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| | 1-003-35010-0 |
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| | 978-1-003-82116-8 |
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| | 1-003-82116-2 |
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| | 978-1-003-82114-4 |
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| | 1-003-82114-6 |
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| Abstract: | "Machine learning is an exciting topic with a myriad of applications. However, most textbooks are targeted towards computer science students. This, however, creates a complication for scientists across the physical sciences that also want to understand the main concepts of machine learning and look ahead to applications and advancements in their fields. This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in machine learning for those from the physical sciences, without a formal background in computer science. It demonstrates how machine learning can be used to solve problems in physics and engineering, targeting senior undergraduate and graduate students in physics and electrical engineering, alongside advanced researchers"-- |
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| DOI: | doi:10.1201/9781003350101 |
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| URL: | Verlag: https://www.taylorfrancis.com/books/9781003350101 |
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| | Resolving-System: https://doi.org/10.1201/9781003350101 |
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| | DOI: https://doi.org/10.1201/9781003350101 |
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| Schlagwörter: | (s)Naturwissenschaften / (s)Ingenieurwissenschaften / (s)Datenauswertung / (s)Datenverarbeitung / (s)Maschinelles Lernen / (s)Julia <Programmiersprache> |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe: Cunha, Carlo Requião da: Machine learning for the physical sciences. - First edition. - Boca Raton : CRC Press, 2024. - xxi, 266 Seiten |
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| Sach-SW: | SCIENCE / Applied Sciences |
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| | SCIENCE / General |
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| K10plus-PPN: | 1877623911 |
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| Lokale URL UB: |  Zum Volltext |
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978-1-003-35010-1,1-003-35010-0,978-1-003-82116-8,1-003-82116-2,978-1-003-82114-4,1-003-82114-6
Machine learning for the physical sciences / Cunha, Carlo Requião da [VerfasserIn]; 2024 (Online-Ressource)
69281976
