Introduction machine learning physics (9 résultats)

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Etat : New. Dive into the cutting-edge intersection of machine learning and physics with this insightful textbook from Asakura Shoten. This volume is designed to introduce readers to the fundamental concepts and applications where artificial intelligence techniques are applied to solve complex problems in physics. Perfect for students and researchers looking to bridge these two crucial scientific disciplines. Note: The text is entirely in Japanese. Brand New Japanese Edition. Ships worldwide from Japan via Japan Post. Expedited shipping via FedEx available.…

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Taschenbuch. Etat : Neu. Machine Learning for Engineers | Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications | Marcus J. Neuer | Taschenbuch | xvii | Englisch | 2024 | Springer | EAN 9783662699942 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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