I have a few posts coming up on Apache Mahout so I thought it might be useful to share some notes. I came at it as primarily an R coder with some very rusty Java and C++ somewhere in the back of my head so that will be my point of reference. I’ve also included … Continue reading...
Since R uses the computer RAM, it may handle only rather small sets of data. Nevertheless, there are some packages that allow to treat larger volumes and the best solution is to connect R with a Big Data environment. This … Continue reading →
by Joseph Rickert In a post last week, I offered some first impressions about R/Finance 2013. Apparently, I was way off in estimating that 30% of the attendees were academics. The R/Finance organizers were quick to point out that percentage of academics attending the conference has been a constant 10% over the years; and this year was no different....
On May 8, we kicked off the transformation of R Users DC to Statistical Programming DC (SPDC) with a meetup at iStrategyLabs in Dupont Circle. The meetup, titled “Stepping up to big data with R and Python,” was an … Continue reading →
The post Stepping up to Big Data with R and Python: A Mind Map...
The Enron email dataset, collected during the FERC investigation of the Enron financial scandal, represents the largest publicly available set of emails. This makes theman ideal testbed for sentiment analysis algorithms. Ikanow's Andrew Strite used the open-source Infinit.e framework and a Hadoop cluster to generate sentiment scores for all of the Enron emails, and then used R to manipulate...
The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full May edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Gaming Analytics FTW! Join us on 13Jun13 at 10:00 AM PDT for our webinar...
@randyzwitch @benjamingaines @usujason I am envisioning the data science equivalent of an autonomous vehicle pileup. — Todd Belcher (@toddmetrics) May 16, 2013 Recently, I’ve been getting my blood pressure up reading (marketing) articles about “big data” and “data science”. What saddens me about the whole discussion is that there is the underlying premise that
by Joseph Rickert This past Saturday, the New Frontiers in Computing Conference (NFIC 2013), held at Stanford University, explored the theme: Social Network Analysis: It’s Who You Know. The speakers were a well-chosen, eclectic lot who covered a remarkable array of issues in less than a full day. Ian Hersey, former CTO of Attensity spoke on Lessons from Large-Scale...
by Thomas Dinsmore On April 26, SAS published on its website an undated Technical Paper entitled Big Data Analytics: Benchmarking SAS, R and Mahout. In the paper, the authors (Allison J. Ames, Ralph Abbey and Wayne Thompson) describe a recent project to compare model quality, product completeness and ease of use for two SAS products together with open source...
Major retailers like Williams Sonoma use UpStream Software for marketing analytics, including revenue attribution, targeting, and optimization. In the video below Tess Nesbitt (senior statistician at UpStream) describes how she uses Revolution R Enterprise and Hadoop to figure out the impact on various marketing channels (for example direct mail, email offers, and catalogs) on consumer retail sales. (The slides...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
