Social Data Analytics (PDF)
The book covers a large body of knowledge to help practitioners and researchers understand the problems, concepts, methods and tools involved in modern social data analytics. The book includes a wealth of material to choose from for courses in data science and analytics.
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The book covers a large body of knowledge to help practitioners and researchers understand the problems, concepts, methods and tools involved in modern social data analytics. The book includes a wealth of material to choose from for courses in data science and analytics.
Samira Ghodratnama is Senior Applied Machine Learning Scientist at Grainger Technology Group, USA, working on real-world problems related to Natural Language Processing (NLP). She is also a research fellow at Macquarie University, Sydney, Australia and Arizona State University, USA, working on complex research problems in the area of text mining, machine learning, and information extraction. Samira has extensive experience building data-centric applications. She holds a Ph.D. in Computer Science from Macquarie University, Sydney, Australia.
Mehdi Elahi is Associate Professor at the University of Bergen, Norway and Adjunct Professor at the Norwegian School of Economics, one of the leading business schools in Europe. He also holds an Honorary Associate Professor position at Macquarie University, Sydney, Australia. He is a co-author and WP-Leader of a large-scale SFI project (budget: 26 Million Euro), where he collaborates with the largest international industry
Helia Farhood is Research Fellow in Data Science at Macquarie University, Sydney, Australia. Helia holds a Ph.D. in Computer Systems and Artificial Intelligence (AI) from the University of Technology Sydney (UTS), Sydney, Australia. She also holds a master's degree in Artificial Intelligence and a bachelor's degree in Computer Engineering with First Class Honours. Helia has extensive experience in Image and Video Processing, and her Ph.D. research focused on 3D reconstruction using light field technology. Helia's research interests include AI, Machine Learning, and Image Processing.
- Autoren: Amin Beheshti , Samira Ghodratnama , Mehdi Elahi , Helia Farhood
- 2022, 250 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 100064460X
- ISBN-13: 9781000644609
- Erscheinungsdatum: 01.08.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 8.18 MB
- Ohne Kopierschutz
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