Federal data science : transforming government and agricultural policy using artificial intelligence /
Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agen...
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| Other Authors: | , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
London :
Academic Press,
2018.
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| Subjects: | |
| Online Access: | CONNECT |
Table of Contents:
- A Day in the Life of a Federal Analyst and a Federal Contractor
- Disseminating Government Data Effectively in the Age of Open Data
- Machine Learning for the Government: Challenges and Statistical Difficulties
- Making the Case for Artificial Intelligence at Government: Guidelines to Transforming Federal Software Systems
- Agricultural Data Analytics for Environmental Monitoring in Canada
- France's Governmental Big Data Analytics: From Predictive to Prescriptive Using R
- Agricultural Remote Sensing and Data Science in China
- Data Visualization of Complex Information Through Mind Mapping in Spain and the European Union
- A Deployment Life Cycle Model for Agricultural Data Systems Using Kansei Engineering and Association Rules
- Level 10 - Federal Big Data Analytics in the Health Domain: An Ontological Approach to Data Interoperability
- Geospatial Data Discovery, Management, and Analysis at National Aeronautics and Space Administration (NASA)
- Intelligent Automation Tools and Software Engines for Managing Federal Agricultural Data
- Transforming Governmental Data Science Teams in the Future.
