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Routledge Handbook of Computational Social Science Volume 2 - Data Science Methods

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Description

The Handbook of Computational Social Science, Volume 2 is a comprehensive reference work published by Routledge that explores data science, statistical modelling, and machine learning methods within the social sciences. Part of the European Association of Methodology Series, this volume provides researchers, academics, and practitioners with in-depth coverage of computational approaches to understanding social phenomena. The handbook bridges traditional social science inquiry with modern computational techniques, offering practical guidance on applying advanced analytical methods to social data. Whether you are developing research methodologies, implementing data-driven studies, or seeking to understand the intersection of computational science and social research, this volume serves as an essential resource for navigating complex analytical landscapes and staying current with evolving best practices in computational social science.

Key Features

The Handbook of Computational Social Science, Volume 2 focuses specifically on data science and machine learning applications in social research contexts.

Published by Routledge as part of the European Association of Methodology Series, ensuring rigorous academic standards and peer-reviewed content.

Comprehensive coverage of statistical modelling techniques tailored to computational social science research and analysis.

Serves as a reference guide for researchers implementing data-driven methodologies in social science investigations and projects.

Combines theoretical foundations with practical methods for applying machine learning and data science to social phenomena.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 November 2021
Listed Since
26 March 2021

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