508 search results for "hadoop"

Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis

January 13, 2014
By

Many articles have been written on why R is better than Excel for data analysis.  In this post, I will summarize the reasons why R is advantageous in most data The post Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis appeared first on Fantasy Football Analytics.

Read more »

Hungarian RUG: lighting talks

January 13, 2014
By
Hungarian RUG: lighting talks

The only Hungarian R User Group so far, the Budapest Users of R Network (BURN), with already more than 120 members, is hosting several lighting talks on the 15th of January (Wednesday): Bence Arató (BI Consulting): Who uses R? László Bodó: C++ calls in R Csaba Burger (Burg Analytics): Financial decisions with lme4  Gergely Daróczi (rapporter.net): A Pandoc writer in R Imre Kocsis (

Read more »

Data Analysis Tools

January 7, 2014
By

As mentioned in my previous post , in this post I will be listing out the tools, blogs and forums, online courses that I have gathered over the past one year, which I felt necessary in my journey, which will be helpful to my fellow data science aspirants. Skillset Required: Knowledge in Statistics – Exploratory analysis, doing initial...

Read more »

Forecasting By Combining Expert Opinion

January 3, 2014
By
Forecasting By Combining Expert Opinion

by Michael Helbraun Michael is member of Revolution Analytics Sales Support team. In the following post, he shows how to synthesize a probability distribution from the opinion of multiple experts: an excellent way to construct a Bayesian prior. There are lots of different ways to forecast. Depending on whether there’s historical data, trend, or seasonality you might choose to...

Read more »

Big Data Analytics predictions for 2014

December 31, 2013
By

As we close out the year, we asked a few members of the Revolution Analytics team to make a few predictions about big data analytics, data science and R for 2014. Here's what they came up with (including a few from yours truly). Michele Chambers, Chief Strategy Officer and VP Product Management While the sexiest job in 2013 was...

Read more »

Data Scientist. The Path I Chose

December 30, 2013
By
Data Scientist. The Path I Chose

As we all are marching into the New Year, I would like to post about my plans to become a Data Scientist, my 2014 resolution at Professional front. The term Data Science was first introduced to me a year ago same time. Since then I have started researching and gathering necessary information and decided to become...

Read more »

Tips on Computing with Big Data in R

December 26, 2013
By

by Joseph Rickert The Revolution R Enterprise 7.0 Getting started Guide makes a distinction between High Performance Computing (HPC) which is CPU centric, focusing on using many cores to perform lots of processing on small amounts of data, and High Performance Analytics (HPA), data centric computing that concentrates on feeding data to cores, disk I/O, data locality, efficient threading,...

Read more »

Apache Spark for Big Analytics

December 23, 2013
By
Apache Spark for Big Analytics

by Thomas Dinsmore, Director of Product Management at Revolution Analytics The emergence of Apache Spark is a key development for Big Analytics in 2013. Spark, an Apache incubator project, is an open source distributed computing framework for advanced analytics in Hadoop. Originally developed as a research project at UC Berkeley's AMPLab, the project achieved incubator status in Apache in...

Read more »

New book release: Data Mining Applications with R

December 23, 2013
By
New book release: Data Mining Applications with R

Book title: Data Mining Applications with R Editors: Yanchang Zhao, Yonghua Cen Publisher: Elsevier Publish date: December 2013 ISBN: 978-0-12-411511-8 Length: 514 pages URL: http://www.rdatamining.com/books/dmar An edited book titled Data Mining Applications with R was released in December 2013, which … Continue reading →

Read more »

Revolution R Enterprise 7 now generally available

December 16, 2013
By

Now that the limited availability period is complete, we're pleased to announce that Revolution R Enterprise 7 is now generally available for all customers on the following platforms (see the detailed list of supported platforms): Windows and Red Hat Enterprise Linux workstations Windows, Red Hat Enterprise Linux and SUSE Linux servers Platform LSF and Microsoft HPC Server clusters Cloudera...

Read more »

Sponsors

Mango solutions



plotly webpage

dominolab webpage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)