ler totalmente Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control (English Edition)

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics-informed machine learning, significant new sections throughout, and chapter exercises. Online supplementary material – including lecture videos per section, homeworks, data, and code in MATLAB®, Python, Julia, and R – available on databookuw.com.

Procurando Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control (English Edition)? Aqui você encontra tudo sobre este livro de Steven L. Brunton, publicado por Cambridge University Press em 5 de maio de 2022. Nesta página estão a descrição da obra, os detalhes da edição (615 páginas) e os formatos disponíveis para baixar: pdf, epub, txt, djvu. Se você gosta de Inglês e Outras Línguas, Por Idioma, eBooks em inglês, Computação, internet e mídia digital, explore também outros títulos da mesma categoria no Encontrando os melhores livros. Veja ainda as outras obras de Steven L. Brunton em nosso catálogo.