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 supplementar
Pris: kr 649.00 fra Norli
Butikk | Pris | |
---|---|---|
kr 649.00 | Besøk butikk |
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods...
kr 689.00
Mer informasjon
Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex...
kr 569.00
Mer informasjon
Designed for language teachers of all levels and languages who seek to inform their classroom practices with current research findings on second language acquisition, this user-friendly book can be used in education courses, professional development training,...
kr 349.00
Mer informasjon