Learning Predictive Analytics with R {ovams}.pdf

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ISBN: 978-1-78216-935-2
Year: 2015
Pages: 332
Language: English
File size: 4.1 MB
File format: PDF


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R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning, where a labeled part of the data is used to learn the relationship or scores in a target attribute. As important information is often hidden in a lot of data, R helps to extract that information with its many standard and cutting-edge statistical functions.

This book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data.

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Learning Predictive Analytics with R {ovams}.pdf