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Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications - Marcus J. Neuer

englanti
2024-11-30
61,86 € 82,48 €

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Toimitus 15-21 arkipäivässä

30 päivän palautusoikeus

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 physic ... Täydellinen kuvaus

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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.

Lisätietoja

Kirjoittaja Marcus J. Neuer
Julkaisija Springer Berlin Heidelberg
Julkaisuvuosi 2024
Kannen tyyppi Pehmeäkantinen
EAN 9783662699942
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Arvostelet: Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
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61,86 € 82,48 €