Detalles MARC
000 -CABECERA |
Longitud fija campo de control |
03616nam a2200241ui 4500 |
001 - NÚMERO DE CONTROL |
Número de control |
ZaR2021002190 |
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA |
Códigos de información de longitud fija |
210921s2019 sz f 001 0 eng d |
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS |
Número Internacional Normalizado para Libros (ISBN) |
9783030118204 |
040 ## - FUENTE DE LA CATALOGACIÓN |
Centro catalogador |
UCA-ESI |
Lengua de catalogación |
spa |
245 00 - MENCIÓN DE TÍTULO |
Título |
Applied data science : |
Resto del título |
lessons learned for the data-driven business / |
Mención de responsabilidad, etc. |
Martin Braschler, Thilo Stadelmann, Kurt Stockinger, editors |
260 ## - PUBLICACIÓN, DISTRIBUCIÓN, ETC. (PIE DE IMPRENTA) |
Lugar de publicación, distribución, etc. |
Cham : |
Nombre del editor, distribuidor, etc. |
Springer, |
Fecha de publicación, distribución, etc. |
2019 |
300 ## - DESCRIPCIÓN FÍSICA |
Extensión |
XIII, 465 p. ; |
Dimensiones |
24 cm |
504 ## - NOTA DE BIBLIOGRAFÍA, ETC |
Nota de bibliografía, etc. |
Bibliografía. - índice |
520 ## - NOTA DE SUMARIO |
Sumario, etc, |
This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors â some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. |
650 04 - PUNTO DE ACCESO ADICIONAL DE MATERIA - TÉRMINO DE MATERIA |
Término de materia o nombre geográfico como elemento inicial |
Investigación científica |
9 (RLIN) |
6350 |
650 04 - PUNTO DE ACCESO ADICIONAL DE MATERIA - TÉRMINO DE MATERIA |
Término de materia o nombre geográfico como elemento inicial |
Ciencia |
Subdivisión de materia general |
Proceso de datos |
9 (RLIN) |
17029 |
700 1# - PUNTO DE ACCESO ADICIONAL - NOMBRE DE PERSONA |
Nombre de persona |
Braschler, Martin, |
Término indicativo de función |
editor |
700 1# - PUNTO DE ACCESO ADICIONAL - NOMBRE DE PERSONA |
Nombre de persona |
Stadelmann, Thilo, |
Término indicativo de función |
editor |
700 1# - PUNTO DE ACCESO ADICIONAL - NOMBRE DE PERSONA |
Nombre de persona |
Stockinger, Kurt, |
Término indicativo de función |
editor |
907 ## - CÓDIGO DE CATALOGADOR |
Catalogador/a |
84zar |
942 ## - ENTRADA DE ELEMENTOS AGREGADOS (KOHA) |
Fuente de clasificaión o esquema |
Clasificación Decimal Universal |
Suprimir del OPAC |
No |
Temas Koha (prestados), todas las copias |
1 |