Data science for complex systems

By:

Chakrabarti, Anindya S

Contributor(s):

Material type: Text

TextPublication details: Cambridge University Press New York 2023Description: x, 293 pISBN:

9781108844796

Subject(s):

DDC classification:

006.3 CHA

Summary: 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. (https://www.cambridge.org/core/books/data-science-for-complex-systems/304F66053C62CD439FDFA46D2D4323A8#fndtn-information)

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.3 CHA (Browse shelf(Opens below))	1	Available		006796

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.3 BUR The executive guide to artificial intelligence: cutting through the hype - how to get the most from AI in your organization	006.3 CHA Applied artificial intelligence in business:	006.3 CHA AI for retail: a practical guide to modernize your retail business with AI and automation	006.3 CHA Data science for complex systems	006.3 CHO Fundamentals of artificial intelligence	006.3 DAV Advanced introduction to artificial intelligence in healthcare	006.3 DAV All in on AI: how smart companies win big with artificial intelligence	Next

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.
(https://www.cambridge.org/core/books/data-science-for-complex-systems/304F66053C62CD439FDFA46D2D4323A8#fndtn-information)

There are no comments on this title.

to post a comment.