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This invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more.
Practical Data Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.
Key features
• Data science and statistical analysis for the business professional
• Numerous instantly familiar real-world use cases
• Keys to effective data presentations
• Modeling and analysis techniques like boosting, regularized regression, and quadratic discriminant analysis
Audience
While some familiarity with basic statistics and R is assumed, this book is accessible to readers with or without a background in data science.
About the technology
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
This invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more.
Practical Data Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.
Key features
• Data science and statistical analysis for the business professional
• Numerous instantly familiar real-world use cases
• Keys to effective data presentations
• Modeling and analysis techniques like boosting, regularized regression, and quadratic discriminant analysis
Audience
While some familiarity with basic statistics and R is assumed, this book is accessible to readers with or without a background in data science.
About the technology
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
Nina Zumel and John Mount are co-founders of Win-Vector LLC, a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at
[...].
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Kommunikationswissenschaften |
| Genre: | Medienwissenschaften |
| Rubrik: | Wissenschaften |
| Medium: | Taschenbuch |
| Seiten: | 483 |
| ISBN-13: | 9781617295874 |
| ISBN-10: | 1617295876 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Mount, John
Zumel, Nina |
| Hersteller: | Manning Publications |
| Maße: | 233 x 187 x 35 mm |
| Von/Mit: | John Mount (u. a.) |
| Erscheinungsdatum: | 13.12.2019 |
| Gewicht: | 0,931 kg |
Nina Zumel and John Mount are co-founders of Win-Vector LLC, a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at
[...].
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Kommunikationswissenschaften |
| Genre: | Medienwissenschaften |
| Rubrik: | Wissenschaften |
| Medium: | Taschenbuch |
| Seiten: | 483 |
| ISBN-13: | 9781617295874 |
| ISBN-10: | 1617295876 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Mount, John
Zumel, Nina |
| Hersteller: | Manning Publications |
| Maße: | 233 x 187 x 35 mm |
| Von/Mit: | John Mount (u. a.) |
| Erscheinungsdatum: | 13.12.2019 |
| Gewicht: | 0,931 kg |
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