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Can I read Data Science for Complex Systems on EtoBox?
Data Science for Complex Systems by Anindya S. Chakrabarti & K. Shuvo Bakar & Anirban Chakraborti is a nonfiction available to read on EtoBox.
What is Data Science for Complex Systems about?
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. In order to develop the empirical apparatus, we first provide an introduction to probability and statistics, covering both classical and Bayesian statistics (Chapter 2). We go through a discussion of the classical approa
Who reads Data Science for Complex Systems?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Anindya S. Chakrabarti & K. Shuvo Bakar & Anirban Chakraborti
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 2023
- Language
- EN
- ISBN
- 9781108844796
- Category
- nonfiction
- Subjects
- Computer Science, Science, Physics
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