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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Upper Saddle River, NJ :
Pearson Education,
2014, ©2015.
|
| Edición: | Rev. and expanded ed. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 082 | 0 | 4 | |a 658.40352 |q OCoLC |2 23/eng/20230216 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Miller, Thomas W., |d 1946- | |
| 245 | 1 | 0 | |a Modeling techniques in predictive analytics : |b business problems and solutions with R / |c Thomas W. Miller. |
| 246 | 3 | 0 | |a Business problems and solutions with R |
| 250 | |a Rev. and expanded ed. | ||
| 260 | |a Upper Saddle River, NJ : |b Pearson Education, |c 2014, ©2015. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed October 24, 2014). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t Analytics and data science -- |t Advertising and promotion -- |t Preference and choice -- |t Market basket analysis -- |t Economic data analysis -- |t Operations management -- |t Text analytics -- |t Sentiment analysis -- |t Sports analytics -- |t Spatial data analysis -- |t Brand and price -- |t The big little data game -- |g [Appendix] A. |t Data science methods -- |g [Appendix] B. |t Measurement -- |g [Appendix] C. |t Case studies -- |g [Appendix] D. |t Code and utilities. |
| 520 | |a 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Decision making |x Statistical methods. | |
| 650 | 0 | |a Forecasting |x Mathematical models. | |
| 650 | 0 | |a Business planning. | |
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Prise de décision |x Méthodes statistiques. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Business planning |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Decision making |x Statistical methods |2 fast | |
| 650 | 7 | |a Forecasting |x Mathematical models |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Miller, Thomas W. |t Modeling techniques in predictive analytics : business problems and solutions with R. |b Revised and expanded edition. |d Upper Saddle River, New Jersey : Pearson Education, 2014, ©2015 |z 9780133886016 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9780133886214/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||