Get visual to design your information extraction process

Here  Pete Warden describes the release this month of A Free Visual Programming Language for Big Data: Until the last few years, large scale data processing was something only big companies could afford to do. As Hadoop has emerged, it has put the power of Google’s MapReduce approach into the hands of mere mortals. The Read More …

Want to speed up the training of your classifier?

Roger Magoulas describes how they got in 6 minutes a trained machine learning algorithm (from a 400,000 data set) with an accuracy of 92%!: Machine learning algorithms can help make sense of data by classifying, clustering and summarizing items in a data set. In general, performance has limited the opportunities to apply machine learning to Read More …

Mining the Tar Sands of Big Data

I liked the analogy Michael Driscoll and Roger Ehrenberg used in their article announcing GigaOM’s Structure: Big Data conference on March 23 in New York City. In a similar vein, much of the world’s most valuable information is trapped in digital sand, siloed in servers scattered around the globe. These vast expanses of data — Read More …

Web 4.0: When Machines Take Over

This is from Big Think Editors article, where he describes the Farsight 2011 event: Part five of Big Think’s Farsight 2011 event looked at how artificial intelligence and machine learning would affect the future of digital search — and how we understand and predict the future. […] He described how the classic Web is organized Read More …

Crowdsourcing: Altruism In The Time Of Internet

I participated to a very nice ECCO seminar last week from Chris Exton (University of Limerick). He is investigating recent internet phenomena such as crowdsourcing and open-source, and tries to explain it from an evolutionary psychology perspective. He is linking it to altruism, a characteristic that, from an evolution point of view, is seen as positive for human society. Read More …

How about police traffic signs to manage your DVD player?

This is “the future”, as Professor Andrew Blake, managing director of Microsoft Research in Cambridge, sees it. He specialises in the areas of machine learning and computer vision and was part of the team that worked to develop the technology behind Microsoft Kinect: Gestures in the home Blake says the same gesture technology used in Read More …