Practical Data Science with R

Author:   Nina Zumel ,  John Mount
Publisher:   Manning Publications
Edition:   2nd edition
ISBN:  

9781617295874


Pages:   483
Publication Date:   13 December 2019
Format:   Paperback
Availability:   In stock   Availability explained
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Practical Data Science with R


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Overview

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  win-vector.com.

Full Product Details

Author:   Nina Zumel ,  John Mount
Publisher:   Manning Publications
Imprint:   Manning Publications
Edition:   2nd edition
Dimensions:   Width: 18.50cm , Height: 3.00cm , Length: 23.50cm
Weight:   1.037kg
ISBN:  

9781617295874


ISBN 10:   1617295876
Pages:   483
Publication Date:   13 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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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  win-vector.com.      

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