Beginning Data Science with R

by Manas A. Pathak

rating: 3.0 (2 reviews)


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“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.
The goal of “Beginning Data Science with R” is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.



Details:
rank:
price: $96.46
bound: 157 pages
publisher: Springer; Softcover reprint of the original 1st ed. 2014 edition (April 30, 2017)
lang: English
asin:
isbn: 3319374737, 978-3319374734,
weight: 9.6 ounces (
filesize:

















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You can use Python when your data analysis tasks need to be integrated with web apps or if statistics code needs to be incorporated into a production databaseAlso have a look at matplotlib to make graphics, and scikit-learn for machine learningLanguage: English Publisher: Apress Publication Date: 2017-04-05 ISBN-10: 1484226704 ISBN-13: 9781484226704 Book DownloadJoin Amazon Kindle Unlimited 30-Day Free Trial File HostFree Download LinkFormatSize (MB)Upload DateZippyShare Click to downloadTrue PDF503/09/2017ZippyShare Click to downloadTrue PDF, EPUB7.903/10/2017 How to Download? Report Dead Links & Get a Copy Online Preview Reviews 0 Get Print Book Recommended Books For YouMore Similar Books Clojure for Data Science The Data Science Handbook Machine Learning in Python: Essential Techniques for Predictive Analysis Python Data Analysis Cookbook Data Mining and Predictive Analytics, 2nd Edition Machine Learning With R Cookbook Mastering Pandas Spark for Data Science Leave a Reply Cancel replyYou must be logged in to post a commentAnd the winner isof T

Pro: R ecosystemTo end, if youre an experienced programmer, you probably won't have a hard time to get up to speed with RIntroducing RThis website uses cookiesAll rights reserved

On the web, you can find many numbers comparing the adoption and popularity of R and PythonDue: January29,2017 ISBN 978-3-319-37473-4 Free shipping for individuals worldwide FAQ Policy This requires computational methods and programming, and R is an ideal programming language for thisClose Share this page with others You can share this item across the most popular social networksPython is a general purpose language that is easy and intuitiveLogin AccountBookshelf Login Apress Access Categories Apple & iOSBig Data & AnalyticsBusinessDatabasesEnterprise SoftwareGame DevelopmentGraphicsHardware & MakerJavaMachine LearningMicrosoft & .NETMobileNetworking & CloudOpen SourceProgrammingPythonSecurityWeb DevelopmentPublishing Partners Services About UsAcademicsAffiliate ProgramBook ReviewersCustomer SupportEventsNews & NewsletterRights & PermissionsSource CodeSubmit ErrataTechnical ReviewersUser Groups Apress OpenBlogWriteShop Shop Apress.comBooksellersBulk SalesCompanion eBooksCorporate SalesLibrarians Search PathakSimilar to R, Python has packages as wellAbout this book We live in the age of dataThe book covers how to install and use R 07f867cfac
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