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Practical Big Data Analytics

You're reading from   Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Length 412 pages
Edition 1st Edition
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Author (1):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
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Table of Contents (13) Chapters Close

Preface 1. Too Big or Not Too Big FREE CHAPTER 2. Big Data Mining for the Masses 3. The Analytics Toolkit 4. Big Data With Hadoop 5. Big Data Mining with NoSQL 6. Spark for Big Data Analytics 7. An Introduction to Machine Learning Concepts 8. Machine Learning Deep Dive 9. Enterprise Data Science 10. Closing Thoughts on Big Data 11. External Data Science Resources 12. Other Books You May Enjoy

Installing R

R is a statistical language that has become extremely popular over the last 3-5 years, especially as a platform that can be used for a wide variety of use cases, ranging from simple data mining to complex machine learning algorithms. According to an article posted in IEEE Spectrum in mid-2016, R takes the No. 5 spot among the Top 10 languages in the world.

Open source R can be downloaded from https://www.r-project.org via the CRAN site located at https://cran.r-project.org/mirrors.html.

Alternatively, you can download R from the Microsoft R Open page at https://mran.microsoft.com/rro/. This was earlier known as Revolution R Open, an enhanced version of open source R released by Revolution Analytics. After Microsoft acquired Revolution Analytics in 2015, it was rebranded under the new ownership.

Microsoft R Open includes all the functionalities of R, but also...

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