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Learning Predictive Analytics with R: Get to grips with key...

Learning Predictive Analytics with R: Get to grips with key data visualization and predictive analytic skills using R

Eric Mayor
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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.
年:
2015
出版商:
Packt Publishing
語言:
english
頁數:
332
ISBN 10:
1782169350
ISBN 13:
9781782169352
文件:
PDF, 3.96 MB
IPFS:
CID , CID Blake2b
english, 2015
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