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Data Science for Public Policy / Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
| Data Science for Public Policy / Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall |
| Autore | Chen, Jeffrey C. |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 363 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Cornwall, Gary J.
Rubin, Edward A. |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62H11 - Directional data; spatial statistics [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 68T50 - Natural language processing [MSC 2020] 91C20 - Clustering in the social and behavioral sciences [MSC 2020] 68N01 - General topics in the theory of software [MSC 2020] |
| Soggetto non controllato |
Data Sciences
Econometrics Programming Public policy Statistics |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274696 |
Chen, Jeffrey C.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Data Science for Public Policy / Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
| Data Science for Public Policy / Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall |
| Autore | Chen, Jeffrey C. |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 363 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Cornwall, Gary J.
Rubin, Edward A. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H11 - Directional data; spatial statistics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 68-XX - Computer science [MSC 2020] 68N01 - General topics in the theory of software [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 68T50 - Natural language processing [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91C20 - Clustering in the social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Data Sciences
Econometrics Programming Public policy Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274696 |
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Chen, Jeffrey C.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mathematical Foundations for Data Analysis / Jeff M. Phillips
| Mathematical Foundations for Data Analysis / Jeff M. Phillips |
| Autore | Phillips, Jeff M. |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvii, 287 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big Data
Clustering Data Mining Data Sciences Data analysis Dimensionality reduction Geometry of Data Machine learning Neural networks Probability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274930 |
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Phillips, Jeff M.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mathematical Foundations for Data Analysis / Jeff M. Phillips
| Mathematical Foundations for Data Analysis / Jeff M. Phillips |
| Autore | Phillips, Jeff M. |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvii, 287 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68-XX - Computer science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big Data
Clustering Data Mining Data Sciences Data analysis Dimensionality reduction Geometry of Data Machine learning Neural networks Probability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274930 |
|
Phillips, Jeff M.
|
||
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||