Data-Driven Science and Engineering

Discover the transformative power of data-driven discovery in "Data-Driven Science and Engineering" by Steven L. Brunton, published by Cambridge University Press in 2022. This comprehensive 614-page hardback book is a must-have for engineering and science professionals looking to enhance their modeling, prediction, and control of complex systems.

In this revised second edition, Brunton seamlessly integrates cutting-edge machine learning and data science techniques, providing readers with practical insights and applications. The inclusion of Python and MATLAB® tools, along with new chapters focusing on reinforcement learning and physics-informed machine learning, ensures that you stay at the forefront of this rapidly evolving field. Additionally, supplementary videos and code enhance the learning experience, making complex concepts accessible and engaging.

Whether you are a seasoned expert or a newcomer, "Data-Driven Science and Engineering" is an essential resource that bridges the gap between theory and practical application, empowering you to leverage data for innovative solutions.