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.
All these buzz about tracking clicks began with Bing, but goes well beyond that Search Engine. Read this article, it talks about clicks and other telemetries (remote measurement and reporting of information). There are a lot of examples of applications where you have been tracked, knowingly or not. You could see it as: you give Read More …
I had found in Will Fitzgerald’s post a very clear overview of how search engines work. He’s not going in detail into the machine learning algorithms, but he gives an idea of what kind of problems they have to tackle 🙂 Enjoy the reading! When a search engine, like Bing’s or Google’s says the results 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 …
Read this article Who Owns Your Facebook Data? from ITworld. It explicits very clearly the terms of service from Facebook… and offers a tool from Reputation.com to help you control access to your data. See what they say: In other words, you own it, but they can do whatever they want with it. Hence the Read More …
Announced on the Data Privacy Day by CNN: Unsurprisingly, the tech companies would prefer to see these problems solved through tools, not rules. Google (GOOG, Fortune 500) touted the new “two-step verification” option it will be rolling out to all accounts within the next few weeks. The new opt-in setting gives users a second security Read More …
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 …
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 …