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Hands-On Data Science with R

You're reading from   Hands-On Data Science with R Techniques to perform data manipulation and mining to build smart analytical models using R

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789139402
Length 420 pages
Edition 1st Edition
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Authors (4):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
Doug Ortiz Doug Ortiz
Author Profile Icon Doug Ortiz
Doug Ortiz
Ricardo Anjoleto Farias Ricardo Anjoleto Farias
Author Profile Icon Ricardo Anjoleto Farias
Ricardo Anjoleto Farias
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with Data Science and R FREE CHAPTER 2. Descriptive and Inferential Statistics 3. Data Wrangling with R 4. KDD, Data Mining, and Text Mining 5. Data Analysis with R 6. Machine Learning with R 7. Forecasting and ML App with R 8. Neural Networks and Deep Learning 9. Markovian in R 10. Visualizing Data 11. Going to Production with R 12. Large Scale Data Analytics with Hadoop 13. R on Cloud 14. The Road Ahead 15. Other Books You May Enjoy

Using Spark machine learning or H2O Sparking Water

If your objective is to use Spark as a tool for your machine learning projects, this section will introduce you to how it is possible to do so within R. Spark contains its own machine learning library that can be accessed by sparklyr, so it's pretty simple to work your machine learning projects on Spark. The website https://spark.rstudio.com/mlib/ provides a pretty good presentation about Spark Machine Learning library, so remember to visit it to discover the many available functions; they include an example workflow that is short and effective and shows how to sequence your project codes. We already talked about machine learning in Chapter 6, Machine Learning with R; in this section, I'm only going to develop the decision tree studies we did in that chapter, but now using the Spark machine learning library.

The Spark...
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