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...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
London
Academic Press
2018
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Schlagworte: | |
Online-Zugang: | FAW01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | 1 online resource |
ISBN: | 9780128124444 012812444X |
Internformat
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500 | |a Includes bibliographical references and index | ||
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 | 7 | |a TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / Crop Science |2 bisacsh | |
650 | 7 | |a TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / General |2 bisacsh | |
650 | 7 | |a Agriculture and state |2 fast | |
650 | 7 | |a Artificial intelligence / Agricultural applications |2 fast | |
650 | 4 | |a Artificial intelligence |x Agricultural applications | |
650 | 4 | |a Agriculture and state | |
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Datensatz im Suchindex
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any_adam_object | |
author2 | Batarseh, Feras Yang, Ruixin |
author2_role | edt edt |
author2_variant | f b fb r y ry |
author_facet | Batarseh, Feras Yang, Ruixin |
building | Verbundindex |
bvnumber | BV045382577 |
classification_rvk | PZ 5000 |
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dewey-full | 630.285 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 630 - Agriculture and related technologies |
dewey-raw | 630.285 |
dewey-search | 630.285 |
dewey-sort | 3630.285 |
dewey-tens | 630 - Agriculture and related technologies |
discipline | Rechtswissenschaft Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau |
format | Electronic eBook |
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id | DE-604.BV045382577 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:16:38Z |
institution | BVB |
isbn | 9780128124444 012812444X |
language | English |
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physical | 1 online resource |
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publishDate | 2018 |
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publisher | Academic Press |
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spelling | Federal data science transforming government and agricultural policy using artificial intelligence edited by Feras A. Batarseh, Ruixin Yang London Academic Press 2018 1 online resource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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 TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / Crop Science bisacsh TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / General bisacsh Agriculture and state fast Artificial intelligence / Agricultural applications fast Artificial intelligence Agricultural applications Agriculture and state Batarseh, Feras edt Yang, Ruixin edt Erscheint auch als Druck-Ausgabe 9780128124437 Erscheint auch als Druck-Ausgabe 0128124431 https://www.sciencedirect.com/science/book/9780128124437 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Federal data science transforming government and agricultural policy using artificial intelligence TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / Crop Science bisacsh TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / General bisacsh Agriculture and state fast Artificial intelligence / Agricultural applications fast Artificial intelligence Agricultural applications Agriculture and state |
title | Federal data science transforming government and agricultural policy using artificial intelligence |
title_auth | Federal data science transforming government and agricultural policy using artificial intelligence |
title_exact_search | Federal data science transforming government and agricultural policy using artificial intelligence |
title_full | Federal data science transforming government and agricultural policy using artificial intelligence edited by Feras A. Batarseh, Ruixin Yang |
title_fullStr | Federal data science transforming government and agricultural policy using artificial intelligence edited by Feras A. Batarseh, Ruixin Yang |
title_full_unstemmed | Federal data science transforming government and agricultural policy using artificial intelligence edited by Feras A. Batarseh, Ruixin Yang |
title_short | Federal data science |
title_sort | federal data science transforming government and agricultural policy using artificial intelligence |
title_sub | transforming government and agricultural policy using artificial intelligence |
topic | TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / Crop Science bisacsh TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / General bisacsh Agriculture and state fast Artificial intelligence / Agricultural applications fast Artificial intelligence Agricultural applications Agriculture and state |
topic_facet | TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / Crop Science TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / General Agriculture and state Artificial intelligence / Agricultural applications Artificial intelligence Agricultural applications |
url | https://www.sciencedirect.com/science/book/9780128124437 |
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