募捐 9月15日2024 – 10月1日2024 关于筹款

Data Science for Complex Systems

Data Science for Complex Systems

Anindya S. Chakrabarti, K. Shuvo Bakar, Anirban Chakraborti
5.0 / 5.0
0 comments
你有多喜欢这本书?
下载文件的质量如何?
下载该书,以评价其质量
下载文件的质量如何?
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.
年:
2023
出版社:
Cambridge University Press
语言:
english
页:
305
ISBN 10:
1108844790
ISBN 13:
9781108844796
文件:
PDF, 19.01 MB
IPFS:
CID , CID Blake2b
english, 2023
线上阅读
正在转换
转换为 失败

关键词