I have read two thrilling news about the really promising time-series data provider called Quandl recently: Quandl: A Wikipedia for Time Series DataQuandl package released to CRANWith the help of the Quandl R package* (development version...

Call for participation: DMApps 2013 – an International Workshop on Data Mining Applications in Industry and Government in conjunction with PAKDD 2013, Gold Coast, Australia, April 14, 2013 http://dmapps2013.rdatamining.com To attend the workshop, you need to register for PAKDD 2013 … Continue reading →

More news about MCMSki IV! Remember, the call is still open for contributed sessions for a few more weeks, till March. 20 to be precise (make sure to contact me at [email protected] if you are considering putting one session together). To all those who already submitted a session, thanks a lot, please stay tuned, and

This puzzle came up in the New York Times Number Play blog. It goes like this: An entrepreneur has devised a gambling machine that chooses two independent random variables x and y that are uniformly and independently distributed between 0 and 100. He plans to tell any customer the value of x and to ask him

How can stats and data publishers, from NGOs and (inter)national statistics agencies to scientific researchers, publish their data in a way that supports its analysis directly, as well as in combination with other datasets? Here’s one approach I learned about from Michael Kao of the UN Food and Agriculture Organisation statistics division, FAOStat. At first

Neural networks have received a lot of attention for their abilities to ‘learn’ relationships among variables. They represent an innovative technique for model fitting that doesn’t rely on conventional assumptions necessary for standard models and they can also quite effectively handle multivariate response data. A neural network model is very similar to a non-linear regression