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OverviewFull Product DetailsAuthor: G. David GarsonPublisher: Taylor & Francis Ltd Imprint: Routledge Weight: 0.453kg ISBN: 9780367624293ISBN 10: 036762429 Pages: 686 Publication Date: 30 November 2021 Audience: College/higher education , Tertiary & Higher Education , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Using and Abusing Data Analytics in Social Science 2. Statistical Analytics with R, Part 1 3. Statistical Analytics with R, Part 2 4. Classification and Regression Trees in R 5. Random Forests 6. Modeling and Machine Learning 7. Neural Network Models and Deep Learning 8. Network Analysis 9. Text Analytics; Appendix 1. Introduction to R and R Studio Appendix 2. Data Used in this BookReviewsAuthor InformationG. David Garson teaches advanced research methodology in the School of Public and International Affairs, North Carolina State University, USA. Founder and longtime editor emeritus of the Social Science Computer Review, he is president of Statistical Associates Publishing, which provides free digital texts worldwide. His degrees are from Princeton University (BA, 1965) and Harvard University (PhD, 1969). Tab Content 6Author Website:Countries AvailableAll regions |
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