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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Academic Press,
2018.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 005 | 20231120010220.0 | ||
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| 020 | |a 9780128124444 |q (electronic bk.) | ||
| 020 | |a 012812444X |q (electronic bk.) | ||
| 020 | |z 9780128124437 | ||
| 020 | |z 0128124431 | ||
| 035 | |a (OCoLC)1004673002 |z (OCoLC)1004761447 |z (OCoLC)1235844372 | ||
| 050 | 4 | |a S494.5.D3 | |
| 072 | 7 | |a TEC |x 003030 |2 bisacsh | |
| 072 | 7 | |a TEC |x 003080 |2 bisacsh | |
| 082 | 0 | 4 | |a 630.285 |2 23 |
| 245 | 0 | 0 | |a Federal data science : |b transforming government and agricultural policy using artificial intelligence / |c edited by Feras A. Batarseh, Ruixin Yang. |
| 264 | 1 | |a London : |b Academic Press, |c 2018. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed September 29, 2017). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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 agencies have a serious need to implement intelligent data management methods, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making. No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area. | ||
| 650 | 0 | |a Artificial intelligence |x Agricultural applications. | |
| 650 | 0 | |a Agriculture and state. | |
| 650 | 6 | |a Intelligence artificielle |x Applications agricoles. |0 (CaQQLa)201-0276653 | |
| 650 | 6 | |a Politique agricole. |0 (CaQQLa)201-0024755 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Agriculture |x Agronomy |x Crop Science. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Agriculture |x Agronomy |x General. |2 bisacsh | |
| 650 | 7 | |a Agriculture and state |2 fast |0 (OCoLC)fst00801722 | |
| 650 | 7 | |a Artificial intelligence |x Agricultural applications |2 fast |0 (OCoLC)fst00817248 | |
| 700 | 1 | |a Batarseh, Feras, |e editor. | |
| 700 | 1 | |a Yang, Ruixin, |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 9780128124437 |z 0128124431 |w (OCoLC)982088940 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128124437 |z Texto completo |