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Beginning Data Science in R 4
Af: Thomas Mailund Engelsk Paperback
SPAR
kr 83
Beginning Data Science in R 4
Af: Thomas Mailund Engelsk Paperback
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, 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 4, Second Edition 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. Modern data analysis requires computational skills and usually a minimum of programming. After reading and using this book, you'll have what you need to get started with R programming with data science applications.  Source code will be available to support your next projects as well. Source code is available at github.com/Apress/beg-data-science-r4. What You Will LearnPerform data science and analytics using statistics and the R programming languageVisualize and explore data, including working with large data sets found in big dataBuild an R packageTest and check your codePractice version controlProfile and optimize your codeWho This Book Is ForThose with some data science or analytics background, but not necessarily experience with the R programming language.
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Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, 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 4, Second Edition 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. Modern data analysis requires computational skills and usually a minimum of programming. After reading and using this book, you'll have what you need to get started with R programming with data science applications.  Source code will be available to support your next projects as well. Source code is available at github.com/Apress/beg-data-science-r4. What You Will LearnPerform data science and analytics using statistics and the R programming languageVisualize and explore data, including working with large data sets found in big dataBuild an R packageTest and check your codePractice version controlProfile and optimize your codeWho This Book Is ForThose with some data science or analytics background, but not necessarily experience with the R programming language.
Produktdetaljer
Sprog: Engelsk
Sider: 511
ISBN-13: 9781484281543
Indbinding: Paperback
Udgave:
ISBN-10: 1484281543
Kategori: Machine learning
Udg. Dato: 24 jun 2022
Længde: 0mm
Bredde: 254mm
Højde: 178mm
Oplagsdato: 24 jun 2022
Forfatter(e): Thomas Mailund
Forfatter(e) Thomas Mailund


Kategori Machine learning


Sprog Engelsk


Indbinding Paperback


Sider 511


Udgave


Længde 0mm


Bredde 254mm


Højde 178mm


Udg. Dato 24 jun 2022


Oplagsdato 24 jun 2022

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