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Unsupervised Learning with R by Erik Rodriguez Pacheco
Requirements: PDF Reader, 5.0 MB
Overview: 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.
The R Project for Statistical Computing provides an excellent platform to tackle data processing, data manipulation, modeling, and presentation. The capabilities of this language, its freedom of use, and a very active community of users makes R one of the best tools to learn and implement unsupervised learning.
Genre: Computer & Technology
Download Instructions:
(Closed Filehost) https://suprafiles.org/7f2tm7nhnpdh
(Closed Filehost) https://cloudyfiles.org/d48bcnqk5whj
Requirements: PDF Reader, 5.0 MB
Overview: 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.
The R Project for Statistical Computing provides an excellent platform to tackle data processing, data manipulation, modeling, and presentation. The capabilities of this language, its freedom of use, and a very active community of users makes R one of the best tools to learn and implement unsupervised learning.
Genre: Computer & Technology
Download Instructions:
(Closed Filehost) https://suprafiles.org/7f2tm7nhnpdh
(Closed Filehost) https://cloudyfiles.org/d48bcnqk5whj
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