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Practical data science with R /
Practical Data Science with R explains basic principles and then jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully expl...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, NY :
Manning,
©2014.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
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| 008 | 140527s2014 nyua ob 001 0 eng d | ||
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| 020 | |a 1617291560 | ||
| 020 | |a 9781617291562 | ||
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| 020 | |z 1617291560 | ||
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| 082 | 0 | 4 | |a 006.312 |2 23 |
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| 100 | 1 | |a Zumel, Nina. | |
| 245 | 1 | 0 | |a Practical data science with R / |c Nina Zumel, John Mount. |
| 260 | |a Shelter Island, NY : |b Manning, |c ©2014. | ||
| 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 cover (Safari, viewed May 15, 2014). | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a Practical Data Science with R explains basic principles and then jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics. Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels. This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed. Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at win-vector.com. | ||
| 505 | 0 | |a PART 1 INTRODUCTION TO DATA SCIENCE: The data science process -- Loading data into R -- Exploring data -- Managing data -- PART 2 MODELING METHODS: Choosing and evaluating models -- Memorization methods -- Linear and logistic regression -- Unsupervised methods -- Exploring advanced methods -- PART 3 DELIVERING RESULTS: Documentation and deployment -- Producing effective presentations. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a R (Computer program language) | |
| 650 | 0 | |a Mathematical statistics |x Data processing. | |
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 6 | |a Statistique mathématique |x Informatique. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Mathematical statistics |x Data processing |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 700 | 1 | |a Mount, John |c (Computational scientist) | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781617291562/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||