000 -LEADER |
fixed length control field |
a |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
220610b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783030713515 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
300.285 |
Item number |
CHE |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Chen, Jeffrey C. |
245 ## - TITLE STATEMENT |
Title |
Data science for public policy |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
Springer, |
Date of publication, distribution, etc |
2021 |
Place of publication, distribution, etc |
Cham : |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XIV, 363 p ; |
Other physical details |
ill., |
Dimensions |
29 cm |
365 ## - TRADE PRICE |
Price amount |
64.99 |
Price type code |
EUR |
Unit of pricing |
86.00 |
490 ## - SERIES STATEMENT |
Series statement |
Springer Series in the Data Sciences |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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 analysts 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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Policy sciences |
|
Topical term or geographic name as entry element |
Data processing |
|
Topical term or geographic name as entry element |
Statistics |
|
Topical term or geographic name as entry element |
Computer science |
|
Topical term or geographic name as entry element |
Mathematics |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Rubin, Edward A. |
|
Personal name |
Cornwall, Gary J. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Books |