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Data Science for Complex Systems
Anindya S. Chakrabarti
K. Shuvo Bakar
Anirban Chakraborti
出版
Cambridge University Press
, 2023-05-25
主題
Computers / Database Administration & Management
Mathematics / Discrete Mathematics
Mathematics / Complex Analysis
Reference / Research
Science / Physics / Mathematical & Computational
Science / Physics / General
ISBN
1108844790
9781108844796
URL
http://books.google.com.hk/books?id=if-xEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.