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.
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 …
Social Media have been able to shift the way information is generated and consumed. At first, information was generated by one person and “consumed” by many people, but nowadays most part of the information available in the Web is generated by users, which has changed the needs in information access and management. Social Networks like 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).