A Data Science Central Community
We all live in a digital world or rather ‘social digital’ world. This is because so many of us have taken to Facebook, Twitter and other social networking sites/tools that this has become an obsession to many.
Obviously, the huge social media traffic has provided companies an unprecedented opportunity to showcase and message themselves. Marketers and bankers have happily followed the traffic. Now every company has a social media strategy, mostly directed at messaging and feeling…Continue
Added by Naagesh Padmanaban on November 30, 2012 at 9:38pm — No Comments
This newsletter contains three sections: announcements from sponsors (at the top), featured contributions from the Data Science Central community, and valuable resources for big data, data science and analytic practitioners (at the bottom).
Added by Vincent Granville on November 30, 2012 at 11:00am — No Comments
Webinar signup: Advances in Gradient Boosting: the Power of Post-Processing
December 14, 10-11 a.m., PST
Webinar Registration: http://2.salford-systems.com/gradientboosting-and-post-processing/
I. Gradient Boosting and Post-Processing:
o What is missing from Gradient Boosting?
o Why post-processing techniques are used?
Added by Lisa Solomon on November 29, 2012 at 1:31pm — No Comments
According to Tim O'Reilly. Do you recognize them? How many do you know? Do you agree with this ranking?
Added by Vincent Granville on November 24, 2012 at 3:30pm — No Comments
Congratulation for your departure. In the current turmoil, we seldom have employee leaving the firm voluntarily. When I start the handover process to look into your work, I feel so resentful that I did not coach properly in your analytic job. These are something that I should have taught you properly:
1. Business drives technical and technological development
I know you always tell me it's impossible to do this and that. I am always taken as not understanding of your situation.…Continue
Added by Jeffrey Ng on November 23, 2012 at 7:30am — No Comments
A previous post compared working with data to a digestive system. At BigML we think that the Big Data technology in Ingestion and Digestion (capturing data and processing data) is hyped at the expense of Absorption and Assimilation (creating new insights and putting them to action). Aquiring a new tool, installing it on your hardware and learning…Continue
Added by Jos Verwoerd on November 23, 2012 at 2:55am — No Comments
Word is Spreading
The word about the International Year of Statistics (Statistics2013) is starting to circle the globe. Check out this entry by the writers…Continue
Added by Vincent Granville on November 21, 2012 at 11:23am — No Comments
Big amount of information is available in textual form in databases or online sources, and for many enterprise functions (marketing, maintenance, finance, etc.) represents a huge opportunity to improve their business knowledge.
Sentiment analysis or opinion mining refers to the application of language processing to identify and extract subjective information in source materials. Generally speaking, sentiment analysis aims to determine the attitude of a speaker or a writer…Continue
Added by Michel Bruley on November 21, 2012 at 1:41am — No Comments
I was frustrated by the fact that in every downturn, the management would lay off Analytics professional to trim down the cost. I have withstand two such stressful time but am still surviving. What makes you stand out among the Analytics Professional? To be more precise, how should you create a report for the end users?
Have you ever tailor-made any suit? Think about the experience: You choose the basic ingredients like materials, pattern, then they do…Continue
Added by Jeffrey Ng on November 20, 2012 at 9:58am — No Comments
Added by Vincent Granville on November 18, 2012 at 7:46pm — No Comments
Top 50 data science / big data techniques, described in less than 40 words, for decision makers. Please help us: any definition that you fill will have your name attached to it: send your definition or new term and definition to [email protected] See also The Data Science Alphabet.…Continue
This applies to US healthcare, where costs of health services are 10 times above what it should be.
Here's an unusual point of view and solution to fix the problem. This applies to individuals rather than healthcare providers:…
Will Obama care raise the cost of Pizza? Yes...by 4 cents.
Added by Paris Granville on November 17, 2012 at 5:07pm — No Comments
Let's continue our discussion about the applications of the graph entropy concept.
Today I'm going to show how we can re-use the same concept on the document clustering.
What I want to highlight is that through such methodology it's possible to:
Added by Cristian Mesiano on November 17, 2012 at 1:35am — No Comments
The data tsunami is upon us – most organizations are drowning in it. The presidential election delivered on the promise of Big Data through Nate Silver’s masterful use of predictive analytics, namely that ‘there is gold in them hills’ of data. Analytics can convert this raw data into gold. But does every…Continue
Added by Radhika Subramanian on November 15, 2012 at 8:21am — No Comments
Transforming into a data-driven organization - turning information into actionable insights is a three (3 ) part strategy:
• Technology –…
Added by Michael Walker on November 14, 2012 at 11:20am — No Comments
STPivot is an open source web based OLAP viewer, completely free and open source, based on default Pivot viewer provided by Pentaho, writen on top of JPivot. The idea behind this project was to improve JPivot user's experience, by taking advantage of free user interface libraries and technologies (such as jQuery and Ajax).…
Added by Emilio Arias on November 14, 2012 at 3:27am — No Comments
What do the Olsen Twins, Rachel Bilson, Jessica Simpson, Justin Timberlake and big data all have in common? All are associated with the same social e-commerce company, BeachMint, according to Donna Prlich, director of product marketing at Pentaho.…Continue
Added by Sarah Conway on November 13, 2012 at 9:52am — No Comments
Big Data holds a big promise. But has that promise paid out already? Or are you heading for Big Dollar Disaster? Many take inventory of their data and find out they have terabytes of data lying around. Surely something should be done with that, so here’s how we see a lot of companies going about implementing ‘something’ for their Big Data.
Added by Jos Verwoerd on November 13, 2012 at 4:04am — No Comments
Interesting, yet I don't know why Tableau, Perl, Java and Python libraries, and SAS are not included...Anyway, here's the article:…