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Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods
Hardback

Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods

$367.99
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  1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks. 4. Covers important and emergent topics in the field like the relationship between CSS, AI and machine learning.
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MORE INFO
Format
Hardback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
5 November 2021
Pages
412
ISBN
9780367457808
  1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks. 4. Covers important and emergent topics in the field like the relationship between CSS, AI and machine learning.
Read More
Format
Hardback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
5 November 2021
Pages
412
ISBN
9780367457808