Modeling techniques in predictive analytics: business problems and solutions with R
Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you're new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you're alre...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Upper Saddle River, NJ
Pearson Education
2014, ©2015
|
| Ausgabe: | Rev. and expanded ed. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780133886214/?ar |
| Zusammenfassung: | Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you're new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you're already a modeler, programmer, or manager, it will teach you crucial skills you don't yet have. This guide illuminates the discipline through realistic vignettes and intuitive data visualizations-not complex math. Thomas W. Miller, leader of Northwestern University's pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today's key applications for predictive analytics, delivering skills and knowledge to put models to work-and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. |
| Beschreibung: | Includes bibliographical references and index. - Online resource; title from title page (Safari, viewed October 24, 2014) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 9780133886214 0133886212 |
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| spelling | Miller, Thomas W. 1946- VerfasserIn aut Modeling techniques in predictive analytics business problems and solutions with R Thomas W. Miller Business problems and solutions with R Rev. and expanded ed. Upper Saddle River, NJ Pearson Education 2014, ©2015 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from title page (Safari, viewed October 24, 2014) Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you're new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you're already a modeler, programmer, or manager, it will teach you crucial skills you don't yet have. This guide illuminates the discipline through realistic vignettes and intuitive data visualizations-not complex math. Thomas W. Miller, leader of Northwestern University's pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today's key applications for predictive analytics, delivering skills and knowledge to put models to work-and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. Decision making Statistical methods Forecasting Mathematical models Business planning Data mining Data Mining Prise de décision ; Méthodes statistiques Exploration de données (Informatique) Decision making ; Statistical methods Forecasting ; Mathematical models 9780133886016 Erscheint auch als Druck-Ausgabe 9780133886016 |
| spellingShingle | Miller, Thomas W. 1946- Modeling techniques in predictive analytics business problems and solutions with R Decision making Statistical methods Forecasting Mathematical models Business planning Data mining Data Mining Prise de décision ; Méthodes statistiques Exploration de données (Informatique) Decision making ; Statistical methods Forecasting ; Mathematical models |
| title | Modeling techniques in predictive analytics business problems and solutions with R |
| title_alt | Business problems and solutions with R |
| title_auth | Modeling techniques in predictive analytics business problems and solutions with R |
| title_exact_search | Modeling techniques in predictive analytics business problems and solutions with R |
| title_full | Modeling techniques in predictive analytics business problems and solutions with R Thomas W. Miller |
| title_fullStr | Modeling techniques in predictive analytics business problems and solutions with R Thomas W. Miller |
| title_full_unstemmed | Modeling techniques in predictive analytics business problems and solutions with R Thomas W. Miller |
| title_short | Modeling techniques in predictive analytics |
| title_sort | modeling techniques in predictive analytics business problems and solutions with r |
| title_sub | business problems and solutions with R |
| topic | Decision making Statistical methods Forecasting Mathematical models Business planning Data mining Data Mining Prise de décision ; Méthodes statistiques Exploration de données (Informatique) Decision making ; Statistical methods Forecasting ; Mathematical models |
| topic_facet | Decision making Statistical methods Forecasting Mathematical models Business planning Data mining Data Mining Prise de décision ; Méthodes statistiques Exploration de données (Informatique) Decision making ; Statistical methods Forecasting ; Mathematical models |
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