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NETWORK SCIENCE, DATA SCIENCE AND SCIENTIFIC COMPUTING
A First Course in Laboratory Optics
Andri M. Gretarsson
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Learn the essential skills of laboratory optics and its underlying theoretical framework with seven key experiments.
June 2021 253 x 177 mm c.300pp HB, EB, CO 978-1-108-48885-3 Hardback £39.99 / US$49.99 P
Principles of Photonics
Jia-Ming Liu
A comprehensive and selfcontained introductory text covering all the fundamental concepts and major principles of photonics.
November 2016 246 x 189 mm 444pp 117 b/w illus. HB, EB, CO 978-1-107-16428-4 Hardback £73.99 / US$96.99 P
Imaging Optics
Joseph Braat Peter Török
This comprehensive and selfcontained text for researchers and professionals presents a detailed account of optical imaging from the viewpoint of both ray and wave optics.
May 2019 246 x 189 mm 984pp 557 b/w illus. 59 tables HB, EB, CO 978-1-108-42808-8 Hardback £79.99 / US$99.99 P
Network Science
Albert-László Barabási Márton Pósfai
Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.
July 2016 246 x 189 mm 475pp 371 colour illus. 12 tables 30 exercises HB 978-1-107-07626-6 Hardback £41.99 / US$55.99 P
Data-Driven Science and Engineering
Machine Learning, Dynamical Systems, and Control
Second edition
Steven L. Brunton J. Nathan Kutz
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
April 2022 253 x 177 mm c.550pp HB, HE, CO 978-1-00-909848-9 Hardback £49.99 / US$64.99 P
Machine Learning
A First Course for Engineers and Scientists Andreas Lindholm Niklas Wahlström Fredrik Lindsten Thomas B. Schön
Presents carefully selected supervised and unsupervised learning methods from basic to state-of-the-art,in a coherent statistical framework.
March 2022 253 x 177 mm 350pp HB, HE, CO 978-1-108-84360-7 Hardback £54.99 / US$69.99 P NETWORK SCIENCE, DATA SCIENCE AND SCIENTIFIC COMPUTING
A First Course in Network Science
Filippo Menczer Santo Fortunato Clayton A. Davis
A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.
February 2020 246 x 189 mm c.300pp 131 b/w illus. 131 colour illus. HB, EB, HE, CO 978-1-108-47113-8 Hardback £34.99 / US$44.99 X
Machine Learning with Neural Networks
An Introduction for Scientists and Engineers Bernhard Mehlig
Modern introduction to machine learning with neural networks. Key principles of the topic are described alongside cutting-edge applications.
October 2021 244 x 170 mm 260pp HB, EB, CO 978-1-108-49493-9 Hardback £39.99 / US$49.99 P
