Name: Data-Driven Science and Engineering
Price: 63.9 CHF
Availability: InStock
ISBN: 9781009098489

productDetailPageQuery

Cambridge UP

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.

Actual product image Data-Driven Science and Engineering (English, Hardcover, J. Nathan Kutz, Steven L. Brunton)

Search

Settings

Customer account

Comparison lists

Watch lists

Cart

Data-Driven Science and Engineering

In Detail

Compare products

Goes with

Data-Driven Science and Engineering

In Detail

Description

Specifications

Price trend

Warranty & return rates

Questions about this product0

Product ratings0

Compare products

Similar products

Sales rank in Reference books

Goes with

Often bought together