A Data Science Central Community
“Exploratory” and “conﬁrmatory” data analysis can both be viewed as methods for comparing observed data to what would be obtained under an implicit or explicit statistical model. For example, many of Tukey’s methods can be interpreted as checks against hypothetical linear models and Poisson distributions. In more complex situations, Bayesian methods can be useful for constructing reference distributions for various plots that are useful in exploratory…Continue
Added by John A Morrison on March 7, 2012 at 10:30pm — No Comments
The financial crisis – risk transfer, insurance layers and (no?) reinsurance culture
Michael Fackler freelance actuary Munich, Germany
The financial crisis of 2007 has triggered various debates, ranging from the stability of the banking system to subtle technical issues regarding the Gaussian and other copulas. All these debates are important, and it might be good to start even a further one: Credit derivatives have much in common with…
Added by John A Morrison on March 7, 2012 at 9:00pm — No Comments
Added by Sandeep Raut on March 7, 2012 at 7:37pm — No Comments
In the last months we discussed a lot about text mining algorithms, I would like for a while focus on data mining aspects.
Today I would talk about one of the most intriguing topics related to data mining tasks: the regression analysis.
...To read the entire post click here
Added by Cristian Mesiano on March 7, 2012 at 2:27pm — No Comments
In a post for Dataversity, I discussed the power of "Beginning with the End in Mind" for Data Professionals, Data Scientists, Business Analysts, and Technologists...
What if Steven Covey was a technologist, data professional, or data scientist? Would the best-selling author–best known for promoting his ”…
Added by Jaime Fitzgerald on March 6, 2012 at 12:19pm — No Comments
Ever since the ﬁnancial crisis of the banking system of 2008 - 2010 the paradigm that deposits or other exposures towards major banks are safe has been fundamentally questioned. This put industrial corporates, who to support their business usually need to manage signiﬁcant cash holdings or incur counterparty credit risk via derivatives, in the situation to develop or extend their resources for counterparty credit risk management. This paper provides a…
Added by John A Morrison on March 4, 2012 at 12:30am — No Comments
Read below more about this disruptive technology for Big Data Analytics.
This is probably the most exciting announcement of the last months: Radoop and RapidMiner are partners now! Read below more about this disruptive technology for Big Data Analytics.…Continue
Added by Vincent Granville on March 3, 2012 at 12:00pm — No Comments
Interesting article posted in The Guardian (see below). Here's my answer to this question:
A data scientist (I like the term data wizard better) is someone who can consistently derive money out of data, e.g. working as an employee, consultant or in an other capacity, by providing value to clients or extracting…Continue
Saptarshi Guha / Paul Kidwell / Ryan P. Hafen / William S. Cleveland
Comprehensive visualization that preserves the information in a large complex dataset requires a visualization database (VDB): many displays, some with many pages, and with one or more panels per page. A single display using a speciﬁc display method results from partitioning the data into subsets, sampling the subsets, and applying the method to each sample, typically one per panel.…
Added by John A Morrison on March 2, 2012 at 2:39am — No Comments