9783030713515 - data science for public policy (springer series in the data sciences) de chen, jeffrey c.; rubin, edward a.; cornwall, gary j. (10 resultados)
Idioma: Inglés
Editorial: Springer, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 99,97
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Condición: New.
Idioma: Inglés
Editorial: Springer, Palgrave Macmillan, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 69,54
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 framework…s 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.
Idioma: Inglés
Editorial: Palgrave Macmillan, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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EUR 40,57
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 380 | Sprache: Englisch | Produktart: Bücher | 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 qua…ntitative 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.
Idioma: Inglés
Editorial: Palgrave Macmillan, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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EUR 39,39
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 380 | Sprache: Englisch | Produktart: Bücher | 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 quantitativ…e 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.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 58,23
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing Sep 2021, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 69,54
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 eco…nomics 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. 380 pp. Englisch.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 100,99
Envío por EUR 7,62Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer International Publishing, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: moluna, Greven, Alemaniamoluna
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EUR 60,06
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Combines anecdotes from public sector experience with technical aspects of fieldAddresses current topics in ethics and fairness, data product development, and team organization in data scienceIncludes.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 99,63
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Condición: New. PRINT ON DEMAND.
Idioma: Inglés
Editorial: Springer, Palgrave Macmillan Sep 2021, 2021
Serie: Springer Series in the Data Sciences, Libro 7 de 11. Libro 7 de 11 - Springer Series in the Data Sciences
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 69,54
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 economi…cs 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 380 pp. Englisch.
