Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
Neuer, Marcus J.
- 出版商: Springer
- 出版日期: 2024-11-30
- 售價: $2,180
- 貴賓價: 9.5 折 $2,071
- 語言: 英文
- 頁數: 241
- 裝訂: Quality Paper - also called trade paper
- ISBN: 366269994X
- ISBN-13: 9783662699942
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相關分類:
人工智慧、Machine Learning、物理學 Physics
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
機器學習和人工智慧是用於改善技術流程的普遍術語。然而，將其實際應用於現實世界的問題往往是困難且複雜的。
本教科書解釋了基於分析概念的學習方法，並結合完整的 Python 程式範例，始終參考真實的技術應用場景。它展示了物理知識驅動的學習策略的使用、將不確定性納入建模的過程，以及利用專業數據庫開發可解釋且值得信賴的人工智慧。
因此，本教科書的目標讀者為工程、自然科學、醫學和商業管理的學生，以及來自業界的實務工作者（特別是數據科學家）、專家數據庫的開發者和軟體開發者。
作者簡介
Dr. Marcus J. Neuer has developed machine learning and explainable artificial intelligence for usable, profitable applications in various research and industry projects. He leads the research and development department at innoRIID GmbH and teaches at RWTH Aachen as well as the University of Applied Sciences for Business, FHDW. His algorithms are successfully used today in various products, including in the fields of nuclear safety and the process industry.
作者簡介(中文翻譯)
Dr. Marcus J. Neuer 開發了機器學習和可解釋的人工智慧，以便在各種研究和產業專案中實現可用且有利可圖的應用。他在 innoRIID GmbH 擔任研究與開發部門的負責人，並在亞琛工業大學（RWTH Aachen）及商業應用科學大學（FHDW）教授課程。他的演算法目前已成功應用於多種產品中，包括核安全和流程工業領域。
