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You're reading from  Learning Bayesian Models with R

Product typeBook
Published inOct 2015
Reading LevelBeginner
PublisherPackt
ISBN-139781783987603
Edition1st Edition
Languages
R
Concepts
Machine Learning
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Author (1)
Hari Manassery Koduvely
Hari Manassery Koduvely
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Hari Manassery Koduvely

Dr. Hari M. Koduvely is an experienced data scientist working at the Samsung R&D Institute in Bangalore, India. He has a PhD in statistical physics from the Tata Institute of Fundamental Research, Mumbai, India, and post-doctoral experience from the Weizmann Institute, Israel, and Georgia Tech, USA. Prior to joining Samsung, the author has worked for Amazon and Infosys Technologies, developing machine learning-based applications for their products and platforms. He also has several publications on Bayesian inference and its applications in areas such as recommendation systems and predictive health monitoring. His current interest is in developing large-scale machine learning methods, particularly for natural language understanding.
Read more about Hari Manassery Koduvely

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RHadoop for using Hadoop from R

RHadoop is a collection of open source packages using which an R user can manage and analyze data stored in the Hadoop Distributed File System (HDFS). In the background, RHadoop will translate these as MapReduce operations in Java and run them on HDFS.

The various packages in RHadoop and their uses are as follows:

  • rhdfs: Using this package, a user can connect to an HDFS from R and perform basic actions such as read, write, and modify files.

  • rhbase: This is the package to connect to a HBASE database from R and to read, write, and modify tables.

  • plyrmr: Using this package, an R user can do the common data manipulation tasks such as the slicing and dicing of datasets. This is similar to the function of packages such as plyr or reshape2.

  • rmr2: Using this package, a user can write MapReduce functions in R and execute them in an HDFS.

Unlike the other packages discussed in this book, the packages associated with RHadoop are not available from CRAN. They can be downloaded...

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Learning Bayesian Models with R
Published in: Oct 2015Publisher: PacktISBN-13: 9781783987603
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Hari Manassery Koduvely

Dr. Hari M. Koduvely is an experienced data scientist working at the Samsung R&D Institute in Bangalore, India. He has a PhD in statistical physics from the Tata Institute of Fundamental Research, Mumbai, India, and post-doctoral experience from the Weizmann Institute, Israel, and Georgia Tech, USA. Prior to joining Samsung, the author has worked for Amazon and Infosys Technologies, developing machine learning-based applications for their products and platforms. He also has several publications on Bayesian inference and its applications in areas such as recommendation systems and predictive health monitoring. His current interest is in developing large-scale machine learning methods, particularly for natural language understanding.
Read more about Hari Manassery Koduvely

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