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Data Science for Complex Systems

Data Science for Complex Systems - Hardcover

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Availability:In StockContributor:Anindya S. Chakrabarti, K. Shuvo Bakar, Anirban ChakrabortiPublish date:2023-05-25Pages:289
Language:EnglishPublisher:Cambridge University PressISBN-13:9781108844796ISBN-10:1108844790UPC:9781108844796Book Category:ScienceBook Subcategory:PhysicsBook Topic:Mathematical & ComputationalSize:9.61 x 6.69 x 0.69 inchesWeight:1.5124Product ID:SCDPC2A06J
Many real-life systems are dynamic, evolving, and intertwined. Examples of such systems displaying 'complexity', can be found in a wide variety of contexts ranging from economics to biology, to the environmental and physical sciences. The study of complex systems involves analysis and interpretation of vast quantities of data, which necessitates the application of many classical and modern tools and techniques from statistics, network science, machine learning, and agent-based modelling. Drawing from the latest research, this self-contained and pedagogical text describes some of the most important and widely used methods, emphasising both empirical and theoretical approaches. More broadly, this book provides an accessible guide to a data-driven toolkit for scientists, engineers, and social scientists who require effective analysis of large quantities of data, whether that be related to social networks, financial markets, economies or other types of complex systems.
Language:EnglishPublisher:Cambridge University PressISBN-13:9781108844796ISBN-10:1108844790UPC:9781108844796Book Category:ScienceBook Subcategory:PhysicsBook Topic:Mathematical & ComputationalSize:9.61 x 6.69 x 0.69 inchesWeight:1.5124Product ID:SCDPC2A06J
Publisher: Cambridge University Press

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