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Federal Data Science - Transforming Government and Agricultural Policy Using Artificial Intelligence (Paperback)
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Federal Data Science - Transforming Government and Agricultural Policy Using Artificial Intelligence (Paperback)
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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. Written and reviewed by academics,
industry experts, and federal analysts, the problems and challenges
of developing data systems for government agencies is presented by
actual developers, designers, and users of those systems, providing
a unique and valuable real-world perspective.
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