A Blog about Machine Learning, Data Privacy and what it takes to make sense of the digital words in the rise of the digital millennium.
It began with GPS with maps, interest points… Now we have smartphones with satellite images and many layers that can be added. What would YOU like to have as augmented reality in your daily life? And on holiday, when traveling? Autonomy CEO explains how the future of computing stems from the 18th century… Today, augmented Read More …
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 …
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 …
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 …
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 …
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 …
Google is picking up the tab for university research projects on privacy, machine learning, the use of cell phones as widespread data collection machines, and so on. The grants are worth nearly $6 million – and this works out to anything between $100,000 and $1.5 million apiece. The Google research program certainly seems to Read More …
Benjamin F. Kuo interviews Gil Elbaz in this article about his new funding of $25M for his open database platform, providing data as a service for localisation: Gil Elbaz On Factual’s New Warchest What’s behind the idea? Using machine learning for information extraction from web crawls data: Gil Elbaz: The way we do things, we Read More …
See in this article from The Guardian (UK) what Facebook says about their use of Machine Learning: Life inside Facebook: how head of developers organises 500 people … You said earlier that you’re focussing on machine learning. What’s that for?Deciding what stories to show you when you log on and look at your wall, for Read More …
I found this presentation from another lover of machine learning, I liked it very much! http://www.infoq.com/presentations/Machine-Learning She shows there that the topic is coming mainstream this year! The percentage of job postings on Machine Learning that was for the last 5 years around 0.05 went up to 0.1 in July 2010 (source: job trends from indeed.com).