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1. |
Record Nr. |
UNINA9910155752203321 |
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Autore |
Fishman Jon M. |
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Titolo |
Abby Wambach |
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Pubbl/distr/stampa |
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ISBN |
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Descrizione fisica |
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1 online resource (32 p.) |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Musica |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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https://ebooks.lernerbooks.com/reader/9781512459821 |
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2. |
Record Nr. |
UNINA9910163269203321 |
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Autore |
Moore Jonathan <1994-> |
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Titolo |
Dark Room |
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Pubbl/distr/stampa |
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ISBN |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Musica |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Gavin Cain, an SFPD homicide inspector, is in the middle of an exhumation when his phone rings. San Francisco's mayor is being blackmailed and has ordered Cain back to the city; a helicopter is on its way. The casket, and Cain's cold-case investigation, must wait. At City |
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Hall, the mayor shows Cain four photographs he's received: the first, an unforgettable blonde; the second, pills and handcuffs on a nightstand; the third, the woman drinking from a flask; and last, the woman naked, unconscious, and shackled to a bed. The accompanying letter is straightforward: worse revelations are on the way unless the mayor takes his own life first. An intricately plotted, deeply affecting thriller that keeps readers guessing until the final pages, The Dark Room tracks Cain as he hunts for the blackmailer, pitching him into the web of destruction and devotion the mayor casts in his shadow. |
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3. |
Record Nr. |
UNINA9910495223203321 |
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Autore |
Chen Jeffrey |
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Titolo |
Data Science for Public Policy / / by Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (365 pages) |
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Collana |
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Springer Series in the Data Sciences, , 2365-5682 |
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Disciplina |
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Soggetti |
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Mathematics - Data processing |
Mathematical statistics - Data processing |
Computational Mathematics and Numerical Analysis |
Statistics and Computing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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An Introduction -- The Case for Programming -- Elements of Programming -- Transforming Data -- Record Linkage -- Exploratory Data Analysis -- Regression Analysis -- Framing Classification -- Three Quantitative Perspectives -- Prediction -- Cluster Analysis -- Spatial Data -- Natural Language -- The Ethics of Data Science -- Developing Data Products -- Building Data Teams -- Appendix A: Planning a Data Product -- Appendix B: Interview Questions. |
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Sommario/riassunto |
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This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among |
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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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