Home Practical Data Science with R by Nina Zumel; John Mount (ISBN: 9781617291562)

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Practical Data Science with R Paperback - 2014

Name: Practical Data Science with R
Price: 9.16 USD
Availability: InStock
Author: John Mount, John, Nina Zumel, Nina
ISBN: 9781617291562

by Nina Zumel; John Mount

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From the publisher

Summary Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and 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. What's Inside

Data science for the business professional
Statistical analysis using the R language
Project lifecycle, from planning to delivery
Numerous instantly familiar use cases
Keys to effective data presentations

About the Authors 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. Table of Contents

The data science process
Loading data into R
Exploring data
Managing data
Choosing and evaluating models
Memorization methods
Linear and logistic regression
Unsupervised methods
Exploring advanced methods
Documentation and deployment
Producing effective presentations

Details

Title Practical Data Science with R
Author Nina Zumel; John Mount
Binding Paperback
Edition International Ed
Pages 416
Volumes 1
Language ENG
Publisher Manning Publications, Shelter Insland, NY
Date 2014-04
ISBN 9781617291562 / 1617291560
Weight 1.6 lbs (0.73 kg)
Dimensions 9.1 x 7.3 x 1 in (23.11 x 18.54 x 2.54 cm)

About the author

Nina Zumel co-founded Win-Vector, a data science consulting firm in San Francisco. She holds a PH.D. in robotics from Carnegie Mellon and was a content developer for EMC's Data Science and Big Data Analytics Training Course. Nina also contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization. John Mount co-founded Win-Vector, a data science consulting firm in San Francisco. He has a Ph.D. in computer science from Carnegie Mellon and over 15 years of applied experience in biotech research, online advertising, price optimization and finance. He contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization.