P R.E S E N T S              .

Beginning Data Science In R

DATE: 2017-10-13  SIZE: 5.83 MB    DISKS: 1x 10MB     PAGES: n/a

PUBLISHER: Apress                            GENRE:

AUTHOR: Thomas Mailund

FORMAT: PDF   PROTECTION: DRM  EDITION: n/a

URL: https://is.gd/ZS9oT3

LANGUAGE: English   ISBN: 9781484226704

: Discover best practices for data analysis and software development in R an :
: start on the path to becoming a fully-fledged data scientist. This book    :
: teaches you techniques for both data manipulation and visualization and    :
: shows you the best way for developing new software packages for R.         :
: Beginning Data Science in R details how data science is a combination of   :
: statistics, computational science, and machine learning. You'll see how to :
: efficiently structure and mine data to extract useful patterns and build   :
: mathematical models. This requires computational methods and programming,  :
: and R is an ideal programming language for this. This book is based on a   :
: number of lecture notes for classes the author has taught on data science  :
: and statistical programming using the R programming language. Modern data  :
: analysis requires computational skills and usually a minimum of            :
: programming. What You Will Learn Perform data science and analytics using  :
: statistics and the R programming language Visualize and explore data,      :
: including working with large data sets found in big data Build an R packag :
: Test and check your code Practice version control Profile and optimize you :
: code Who This Book Is For Those with some data science or analytics        :
: background, but not necessarily experience with the R programming language :

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