| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
426356128 Erscheint auch als (Druck-Ausgabe): ‡Data science & big data analytics |
| ISBN |
978-1-118-87613-8 |
| Körperschaft |
EMC ¬[Herausgebendes Organ]¬ |
| T I T E L |
Data science & big data analytics |
| Zusatz zum Titel |
discovering, analyzing, visualizing and presenting data |
| Weitere Titel |
Data science and big data analytics |
| Verlagsort |
Indianpolis, IN |
| Verlag |
John Wiley & Sons |
| Erscheinungsjahr |
©2015 |
| 2015 |
| Umfang |
1 Online-Ressource (XVIII, 410 Seiten) |
| Reihe |
Wiley Online Library |
| Notiz / Fußnoten |
Includes bibliographical references and index |
| Enthaltene Werke |
$tIntroduction to Big Data AnalyticsData Analytics Lifecycle -- Review of Basic Data Analytic Methods Using R -- Advanced Analytical Theory and Methods: Clustering -- Advanced Analytical Theory and Methods: Association Rules -- Advanced Analytical Theory and Methods: Regression -- Advanced Analytical Theory and Methods: Classification -- Advanced Analytical Theory and Methods: Time Series Analysis -- Advanced Analytical Theory and Methods: Text Analysis -- Advanced Analytics: Technology and Tools: MapReduce and Hadoop -- Advanced Analytics: Technology and Tools: In-Database Analytics -- The Endgame, or Putting It All Together. |
| Titelhinweis |
Erscheint auch als (Druck-Ausgabe): ‡Data science & big data analytics |
| ISBN |
ISBN 978-1-119-18368-6 |
| ISBN 978-1-118-87622-0 : electronic bk. |
| ISBN 978-1-118-87605-3 : electronic bk. |
| ISBN 1-119-18368-5 |
| ISBN 1-118-87622-9 : electronic bk. |
| ISBN 1-118-87605-9 : electronic bk. |
| Klassifikation |
COM |
| COM |
| COM 000000 |
| COM 021030 |
| 006.3/12 |
| 006.312 |
| QA76.9.D343 |
| ST 530 |
| Kurzbeschreibung |
This is a book about harnessing the power of data for new insights and covers the breadth of activities and methods and tools that data scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. It will help you become a contributor on a data science team; deploy a structured lifecycle approach to data analytics problems; apply appropriate analytic techniques and tools to analyzing big data; learn how to tell a compelling story with data to drive business action; prepare for EMC Proven Professional data science certification. -- |
| 2. Kurzbeschreibung |
Introduction to Big Data Analytics -- Data Analytics Lifecycle -- Review of Basic Data Analytic Methods Using R -- Advanced Analytical Theory and Methods: Clustering -- Advanced Analytical Theory and Methods: Association Rules -- Advanced Analytical Theory and Methods: Regression -- Advanced Analytical Theory and Methods: Classification -- Advanced Analytical Theory and Methods: Time Series Analysis -- Advanced Analytical Theory and Methods: Text Analysis -- Advanced Analytics: Technology and Tools: MapReduce and Hadoop -- Advanced Analytics: Technology and Tools: In-Database Analytics -- The Endgame, or Putting It All Together |
| 1. Schlagwortkette |
Big Data |
| Data Mining |
| ANZEIGE DER KETTE |
Big Data -- Data Mining |
| SWB-Titel-Idn |
451898516 |
| Signatur |
E-Book Wiley |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1002/9781119183686 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
| Siehe auch |
Verlag |
| Siehe auch |
Inhaltsverzeichnis |
| Siehe auch |
Cover |
