R Programming

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This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools--useful whether you work with Windows, macOS, or Linux.
AuthorJeroen Janssens BindingPaperback
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Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis.
AuthorFlorent Buisson BindingPaperback
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Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and hypothesis testing using a programming language.
Author George Mount BindingPaperback
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By Francois Chollet, J. J. Allaire
$4277 $3849
Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image recognition, not to mention machines capable of beating world champion Go masters.
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By Florian Heiss
$4000 $3600
Introduces the popular, powerful and free programming language and software package R Focus : implementation of standard tools and methods used in econometrics Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation Companion website with full text, all code for download and other goodies
AuthorFlorian Heiss BindingPaperback
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By Richard Cotton
In stock
$1643 $1479
Learn how to perform data analysis with the Rlanguage and software environment, even if you have little or no programmingexperience. With the tutorials in this hands-on guide, you’ll learn how to usethe essential R tools you need to know to analyze data, including data typesand programming...
AuthorRichard Cotton BindingPaperBack
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By Joseph Adler
In stock
$2406 $2165
If you’re considering R for statisticalcomputing and data visualization, this book provides a quick and practicalguide to just about everything you can do with the open source R language andsoftware environment. You’ll learn how to write R functions and use R packagesto help you prepare,...
AuthorJoseph Adler BindingPaperback
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By Stephen Weston, Q Ethan McCallum
In stock
$323 $290
It’stough to argue with R as a high-quality, cross-platform, open sourcestatistical software product—unless you’re in the business of crunching BigData. This concise book introduces you to several strategies for using R toanalyze large datasets. You’ll learn the basics of Snow, Multicore,...
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By Colin Gillespie, Robin Lovelace
In stock
$792 $713
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code.
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By Hadley Wickham
In stock
$616 $555
Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language.
AuthorHadley Wickham BindingPaperback
Learn how to program by diving into the R language, and then use your new found skills to solve practical data science problems. With this book, you'll learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's...
AuthorGarrett Grolemund BindingPaperback
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By Norman Matloff
In stock
$3995 $2439
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running...
AuthorNorman Matloff BindingPaperBack
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