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32:49

Machine Learning and End-to-End Data Analysis Processes in Spark Using Python and R

Posted by Debraj GuhaThakurta  on  Feb 05, 2017 Posted by Debraj GuhaThakurta  on  Feb 05, 2017

Debraj GuhaThakurta discusses ML and data analysis processes in Spark using examples written in Python and R.

58:55

Data Visualization with R

Posted by Matthew Renze  on  Oct 28, 2016 Posted by Matthew Renze  on  Oct 28, 2016

Matthew Renze introduces the R programming language as well as demonstrates how R can be used to create data visualizations to complete day-to-day developer tasks.

18:20

The Joy of Not Coding

Posted by Jeroen Janssens  on  Aug 11, 2016 Posted by Jeroen Janssens  on  Aug 11, 2016

Jeroen Janssens discusses several tricks for polyglot programmers helping to mix and match different languages and tools in a project.

01:25:23

Implementing a Highly Scalable Stock Prediction System with R, GemFire and Spring XD

Posted by William Markito Oliveira  on  Jan 23, 2016 2 Posted by William Markito Oliveira Fred Melo  on  Jan 23, 2016 2

William Markito Oliveira and Fred Melo discuss the architecture and implementation details of a stock prediction solution built entirely on top of open source code and some R and a web interface.

48:35

Exploratory Data Analysis with R

Posted by Matthew Renze  on  Sep 13, 2015 3 Posted by Matthew Renze  on  Sep 13, 2015 3

Matthew Renze introduces the R programming language and demonstrates how R can be used for exploratory data analysis.

46:05

R for Big Data

Posted by Indrajit Roy  on  Dec 15, 2013 Posted by Indrajit Roy  on  Dec 15, 2013

Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.

Distributed Data Analysis with Hadoop and R

Posted by Jonathan Seidman  on  Mar 09, 2012 1 Posted by Jonathan Seidman Ramesh Venkataramaiah  on  Mar 09, 2012 1

Jonathan Seidman and Ramesh Venkataramaiah present how they run R on Hadoop in order to perform distributed analysis on large data sets, including some alternatives to their solution.

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