Federal Data Science

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. Offers a range of data science models, engineering tools, and federal use-cases Provides foundational observations into government data resources and requirements Introduces experiences and examples of data openness from the US and other countries A step-by-step guide for the conversion of government towards data-driven policy making Focuses on presenting data models that work within the constraints of the US government Presents the why, the what, and the how of injecting AI into federal culture and software systems

Produk Detail:

  • Author : Feras A. Batarseh
  • Publisher : Academic Press
  • Pages : 256 pages
  • ISBN : 012812444X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKFederal Data Science

Federal Data Science

Federal Data Science
  • Author : Feras A. Batarseh,Ruixin Yang
  • Publisher : Academic Press
  • Release : 21 September 2017
GET THIS BOOKFederal Data Science

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

97 Things About Ethics Everyone in Data Science Should Know

97 Things About Ethics Everyone in Data Science Should Know
  • Author : Bill Franks
  • Publisher : O'Reilly Media
  • Release : 06 August 2020
GET THIS BOOK97 Things About Ethics Everyone in Data Science Should Know

Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and

Data Democracy

Data Democracy
  • Author : Feras A. Batarseh,Ruixin Yang
  • Publisher : Academic Press
  • Release : 28 January 2020
GET THIS BOOKData Democracy

This book provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it.

Data Science for Librarians

Data Science for Librarians
  • Author : Yunfei Du,Hammad Rauf Khan
  • Publisher : ABC-CLIO
  • Release : 26 March 2020
GET THIS BOOKData Science for Librarians

This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries. Data Science for Librarians introduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice. Partially due to how

Data Science Landscape

Data Science Landscape
  • Author : Usha Mujoo Munshi,Neeta Verma
  • Publisher : Springer
  • Release : 01 March 2018
GET THIS BOOKData Science Landscape

The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and

Roundtable on Data Science Postsecondary Education

Roundtable on Data Science Postsecondary Education
  • Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Division on Engineering and Physical Sciences,Board on Science Education,Computer Science and Telecommunications Board,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics
  • Publisher : National Academies Press
  • Release : 02 October 2020
GET THIS BOOKRoundtable on Data Science Postsecondary Education

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and

Data Science for Business and Decision Making

Data Science for Business and Decision Making
  • Author : Luiz Paulo Fávero,Patrícia Belfiore
  • Publisher : Academic Press
  • Release : 08 March 2019
GET THIS BOOKData Science for Business and Decision Making

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and

Learn Python by Building Data Science Applications

Learn Python by Building Data Science Applications
  • Author : Philipp Kats,David Katz
  • Publisher : Packt Publishing Ltd
  • Release : 30 August 2019
GET THIS BOOKLearn Python by Building Data Science Applications

Understand the constructs of the Python programming language and use them to build data science projects Key Features Learn the basics of developing applications with Python and deploy your first data application Take your first steps in Python programming by understanding and using data structures, variables, and loops Delve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in Python Book Description Python is the most widely used programming language for building data science applications. Complete

A Practical Guide to Analytics for Governments

A Practical Guide to Analytics for Governments
  • Author : Marie Lowman
  • Publisher : John Wiley & Sons
  • Release : 05 May 2017
GET THIS BOOKA Practical Guide to Analytics for Governments

Analytics can make government work better—this book shows you how A Practical Guide to Analytics for Governments provides demonstrations of real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are transforming industries across the board, and government can reap many of those same benefits by applying analytics to processes and programs already in place. From healthcare delivery and child well-being, to crime and program fraud, analytics can—in

Analytics, Data Science, and Artificial Intelligence

Analytics, Data Science, and Artificial Intelligence
  • Author : Ramesh Sharda,Dursun Delen,Efraim Turban
  • Publisher : Unknown Publisher
  • Release : 06 March 2020
GET THIS BOOKAnalytics, Data Science, and Artificial Intelligence

For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With

Doing Data Science

Doing Data Science
  • Author : Cathy O'Neil,Rachel Schutt
  • Publisher : "O'Reilly Media, Inc."
  • Release : 09 October 2013
GET THIS BOOKDoing Data Science

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay

Game Theory for Data Science

Game Theory for Data Science
  • Author : Boi Faltings,Goran Radanovic
  • Publisher : Morgan & Claypool Publishers
  • Release : 19 September 2017
GET THIS BOOKGame Theory for Data Science

Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards. We cover different settings and the assumptions they admit,

Data Science Tools

Data Science Tools
  • Author : Christopher Greco
  • Publisher : Stylus Publishing, LLC
  • Release : 30 May 2020
GET THIS BOOKData Science Tools

In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet). Each of these tools will be used to apply statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis using real data from Federal Government