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Books > Reference & Interdisciplinary > Communication studies > Research methods

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Handbook of Computational Social Science, Volume 2 - Data Science, Statistical Modelling, and Machine Learning Methods (Hardcover) Loot Price: R5,035
Discovery Miles 50 350
Handbook of Computational Social Science, Volume 2 - Data Science, Statistical Modelling, and Machine Learning Methods...

Handbook of Computational Social Science, Volume 2 - Data Science, Statistical Modelling, and Machine Learning Methods (Hardcover)

Uwe Engel, Anabel Quan-Haase, Lars Lyberg, Sunny Liu

Series: European Association of Methodology Series

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Loot Price R5,035 Discovery Miles 50 350 | Repayment Terms: R472 pm x 12*

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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.

General

Imprint: Routledge
Country of origin: United Kingdom
Series: European Association of Methodology Series
Release date: November 2021
First published: 2022
Editors: Uwe Engel • Anabel Quan-Haase • Lars Lyberg • Sunny Liu
Dimensions: 246 x 174mm (L x W)
Format: Hardcover
Pages: 412
ISBN-13: 978-0-367-45780-8
Categories: Books > Reference & Interdisciplinary > Communication studies > Research methods
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Social sciences > Psychology > Psychological methodology > Psychological testing & measurement
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
Books > Professional & Technical > Technology: general issues > Technical design > Ergonomics
LSN: 0-367-45780-6
Barcode: 9780367457808

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