Practical Data Mining with AI for Social Scientists
Language: English
Published by Springer, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 75.79
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical skills in data analysis. It distinguishes itself by combining theoretical knowledge with practical applications, bridged through extensive Python programming exercises. To accommodate social scientists' needs, the book emphasizes the analysis of textual data, especially those acquired from surveys and social media. For those without prior programming experience, the book provides instruction on using an AI-assisted Python programming tool, following the learn-by-doing methodology of acquiring new skills through experience. The overall learning goal of the book is to develop a conceptual understanding of data mining as well as the technical skills necessary for real-world data analysis.
Seller Inventory # 9783031896880
- Title
- Practical Data Mining with AI for Social Scientists
- Author
- Andrei P. Kirilenko
- Publisher
- Springer
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3031896882
- ISBN 13
- 9783031896880
- Item weight
- 900 grams
- Dimensions
- 235x155x27 mm
This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical skills in data analysis. It distinguishes itself by combining theoretical knowledge with practical applications, bridged through extensive Python programming exercises. To accommodate social scientists' needs, the book emphasizes the analysis of textual data, especially those acquired from surveys and social media. For those without prior programming experience, the book provides instruction on using an AI-assisted Python programming tool, following the learn-by-doing methodology of acquiring new skills through experience. The overall learning goal of the book is to develop a conceptual understanding of data mining as well as the technical skills necessary for real-world data analysis.
"Synopsis" may belong to another edition of this title.
About the Author
Andrei Kirilenko has a degree in applied mathematics and a Ph.D. in computer science. He started his career developing computer models for evaluating climate change impacts on the natural environment and agriculture. Gradually, his teaching and research interests have shifted toward quantitative social science research. Since 2015, he has held the position of Associate Professor at the Department of Tourism, Hospitality, and Event Management at the University of Florida, USA, teaching courses on data mining for social sciences, Geographical Information Systems, statistics, and research methods. His research is centered on social media analysis, sustainability, and biodiversity. Dr. Kirilenko has served as an expert in the global assessments of the Intergovernmental Panel on Climate Change (IPCC) and the United Nations Environmental Program (UNEP) Global Environmental Assessments.
"About the title" may belong to another edition of this title.
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