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Cambridge University Press Cambridge Data-Driven Science and Engineering Textbook

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Description

Explore the frontier of modern scientific computing with Data-Driven Science and Engineering by Cambridge University Press. This textbook integrates machine learning, engineering mathematics, and mathematical physics to bridge the gap between modeling and control of dynamical systems. It provides a comprehensive look at how data science methods are applied to complex systems including turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Designed for advanced undergraduate and beginning graduate students, this text highlights recent advances that enable data-driven discovery. By combining traditional engineering principles with modern data science, it offers a pathway to understanding the modeling, prediction, and control of complex systems in a changing technological landscape.

Key Features

Published by Cambridge University Press, this textbook covers machine learning, dynamical systems, and control.

Integrates engineering mathematics and mathematical physics with modern methods in data science.

Covers applications in diverse fields such as robotics, autonomy, climate, and finance.

Provides technical insights into modeling and predicting complex systems like turbulence and the brain.

Tailored for advanced undergraduate and beginning graduate students in scientific computing fields.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 February 2019
Listed Since
09 June 2018

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No barcode data available

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