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.
I extract this from tech.fortune.cnn.com, by Kevin Kelleher: Some of the most popular iPhone apps were found to be sending personal data like location and phone numbers to advertisers. The FCC passed a set of neutrality rules that fell far short of the openness that people are used to on the web, particularly on the mobile web. In most Read More …
Check this article by Jami Makan: ..we hope you don’t mind being tracked offline, too.” In August, Facebook launched Places, a tool that lets you “check in” at real-life locations, such as restaurants and concert venues, with the help of the GPS on your smartphone. The idea: to let friends know where you are. Though Read More …
In 2010 there was much talk of content farms – search-keyword-driven collections of copy written by low-paid writers and edited by low-paid copy editors. And it became commonplace to see Twitter feeds aggregated and displayed on news media web sites and broadcast media. Still, the boundaries between what must done by humans and what can Read More …
Here comes the new Data Loss Prevention (DLP) programs based on machine learning. DLP programs are tools to identify sensitive information so that you can through specific policies control where data should and shouldn’t go. A New Way to Find and Protect Data: Vector Machine Learning A new category of DLP detection technology has emerged 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 …
Here’s an interesting bit from this article: Home Office changes mind on data interception consultation … The deadline for the consultation has now been extended to December 17th, and the meeting with civil rights groups will take place this week.The Home Office is considering giving the Interception Commissioner, who deals with cases where companies have Read More …
Here’s the explanation: … As described above, data mining is an efficient tool help marketing people to analyze consumer’s behaviors, classify data and predict the future trends by pattern analysis. Business would gain more profits if managers make good use of it. In addition, data mining also contributes a lot to CRM, Customer Relationship Management.3 Read More …
I found this article quite frightening.. Although it’s more than a year old, I’m sure things are only worst than at the time Annie Macios wrote it. http://www.radiologytoday.net/archive/rt_011209p20.shtml The main idea is that companies that collected health information for their business purposes (like invoicing follow-up), and for which you gave your approval, then realised they 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 …