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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. 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..." (Verlagsinformation) (xsd:string)
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  • 2017 (xsd:gyear)
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  • Englisch (EN) (xsd:string)
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  • 9781484226704 ()
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  • Beginning data science in R : data analysis, visualization, and modelling for the data scientist (xsd:string)
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  • New York: Apress, 2017.- XXVII, 352 S., Ill., graph. Darst. (xsd:string)
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