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Unsupervised Learning with R [Repost]
![Unsupervised Learning with R [Repost]](https://pixhost.icu/avaxhome/49/22/003a2249.jpeg)
Unsupervised Learning with R by Erik Rodriguez Pacheco
English | 3 Dec. 2015 | ISBN: 1785887092 | 265 Pages | PDF | 5 MB
English | 3 Dec. 2015 | ISBN: 1785887092 | 265 Pages | PDF | 5 MB
Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data.
About This Book
Unlock and discover how to tackle clusters of raw data through practical examples in R
Explore your data and create your own models from scratch
Analyze the main aspects of unsupervised learning with this comprehensive, practical step-by-step guide
Who This Book Is For
This book is intended for professionals who are interested in data analysis using unsupervised learning techniques, as well as data analysts, statisticians, and data scientists seeking to learn to use R to apply data mining techniques. Knowledge of R, machine learning, and mathematics would help, but are not a strict requirement.