Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control (Hardcover)
暫譯: 數據驅動的科學與工程:機器學習、動態系統與控制 (精裝版)

Brunton, Steven L., Kutz, J. Nathan

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商品描述

Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art.

商品描述(中文翻譯)

數據驅動的發現正在徹底改變複雜系統的建模、預測和控制。本教科書結合了機器學習、工程數學和數學物理,將動態系統的建模和控制與數據科學的現代方法整合在一起。它突顯了許多科學計算的最新進展,使數據驅動的方法能夠應用於各種複雜系統,如湍流、大腦、氣候、流行病學、金融、機器人技術和自主系統。本書針對工程和物理科學的高年級本科生及初級研究生,介紹了從入門到最前沿的一系列主題和方法。