Data science for complex systems

This text provides an accessible guide to the tools and techniques of data science that can be utilised for the analysis of complex systems. This text is an invaluable resource for scientists, engineers and social scientists who require effective analysis of large quantities of data.

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Bibliographic Details
Main Authors: Chakrabarti, Anindya S. (Author), Bakar, K. Shuvo (Author), Chakraborti, Anirban (Author)
Format: Book
Language:English
Published: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2023.
Physical Description:
x, 293 pages : illustrations (black and white) ; 25 cm.
Subjects:
Data mining.
Computational complexity.
System theory -- Data processing.

MARC

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