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  2. Regning og matematisk analyse
  3. Numerisk analyse

Data Science for Public Policy

Af: Gary J. Cornwall, Jeffrey C. Chen, Edward A. Rubin Engelsk Paperback

Data Science for Public Policy

Af: Gary J. Cornwall, Jeffrey C. Chen, Edward A. Rubin Engelsk Paperback
Tjek vores konkurrenters priser
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst''s time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data.
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Tjek vores konkurrenters priser
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst''s time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data.
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Produktdetaljer
Sprog: Engelsk
Sider: 363
ISBN-13: 9783030713546
Indbinding: Paperback
Udgave:
ISBN-10: 3030713547
Kategori: Numerisk analyse
Udg. Dato: 2 sep 2022
Længde: 0mm
Bredde: 210mm
Højde: 279mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 2 sep 2022
Forfatter(e): Gary J. Cornwall, Jeffrey C. Chen, Edward A. Rubin
Forfatter(e) Gary J. Cornwall, Jeffrey C. Chen, Edward A. Rubin

Kategori Numerisk analyse

ISBN-13 9783030713546

Sprog Engelsk

Indbinding Paperback

Sider 363

Udgave

Længde 0mm

Bredde 210mm

Højde 279mm

Udg. Dato 2 sep 2022

Oplagsdato 2 sep 2022

Forlag Springer Nature Switzerland AG

Kategori sammenhænge