| ISBN13: | 9781032569055 |
| ISBN10: | 10325690511 |
| Binding: | Hardback |
| No. of pages: | 184 pages |
| Size: | 234x156 mm |
| Language: | English |
| Illustrations: | 74 Illustrations, black & white; 14 Illustrations, color; 50 Halftones, black & white; 13 Halftones, color; 24 Line drawings, black & white; 1 Line drawings, color; 27 Tables, black & white |
| 700 |
Reference works, dictionaries
Sociology in general, methodology, handbooks
Theory of computing, computing in general
Computer architecture, logic design
Supercomputers
Artificial Intelligence
Organizational sociology
Ethnography in general
Geology
Social geography
Further readings in earth sciences
Reference works, dictionaries (charity campaign)
Sociology in general, methodology, handbooks (charity campaign)
Theory of computing, computing in general (charity campaign)
Computer architecture, logic design (charity campaign)
Supercomputers (charity campaign)
Artificial Intelligence (charity campaign)
Organizational sociology (charity campaign)
Ethnography in general (charity campaign)
Geology (charity campaign)
Social geography (charity campaign)
Further readings in earth sciences (charity campaign)
Social Data Analytics in the Cloud with AI
GBP 74.99
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This textbook helps students and educators prepare for the future by studying and teaching in the cloud and learning how to use modern cloud computing resources to process and analyze data and access the latest technologies with a modern browser. It also helps students and universities reduce costs while accessing the latest technologies.
The rise of cloud computing and Generative artificial intelligence (AI) has revolutionized data analytics pipelines. Analysts can collect, store, and process vast datasets in the cloud with high availability and scalability, and also leverage Generative AI to query and visualize datasets in natural languages. This pioneering textbook provides a gateway for students, educators, and professionals to develop and enhance social data analytics capabilities with the latest cloud computing and AI technologies. The textbook introduces educational cloud resources from leading technology companies, begins with foundational concepts, and progresses to advanced techniques.
Features
- The first textbook on cloud-based social data analytics with the assistance of Generative AI.
- Introduces educational cloud resources from leading technology companies like AWS, GitHub, and MongoDB.
- Presents a fully AI-powered data analytics pipeline from Python coding to data collection with APIs, cloud-based data storage, natural language queries, and interactive visualization.
- Analyzes Census and social media data with the latest large language models (LLMs).
- Provides hands-on exercises with real-world datasets on timely issues.
This textbook is an excellent resource for upper-level undergraduate and graduate students taking GIS, Urban Informatics, Social Science Data Analysis, and Data Science courses; faculty members teaching such courses; and professionals and researchers interested in leveraging cloud computing and Generative AI in social data analytics.
Introduction. Set up a Free Cloud-based Learning Environment. Introduction to Python Programming and Data Analytics. Data Collection and Storage. Data Process and Query. Data Visualization. Conclusion.