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The Essentials Of Data Science : Knowledge Discovery Using R
Paperback Edition: 1
Building on
over thirty years' experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews R's capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book. Featured in the October Trades and Technologies newsletter.
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Pages : 322
Publisher : Routledge
Publication date : 2017-07-21
Subjects: Non-fiction, Science And Technology, Computing And IT, Data Mining