Computer Learning Neighborhoods from Images

An example of the ability to make a classification of an image by subtle attributes.  Images are a form of unstructured data increasingly being found in large databases.  Medical imagery is close behind.  In Engadget.   " ... Us humans are normally good at making quick judgments about neighborhoods. We can figure out whether we're safe, or if we're likely to find a certain store. Computers haven't had such an easy time of it, but that's changing now that MIT researchers have created a deep learning algorithm that sizes up neighborhoods roughly as well as humans. The code correlates what it sees in millions of Google Street View images with crime rates and points of interest; it can tell what a sketchy part of town looks like, or what you're likely to see near a McDonald's (taxis and police vans, apparently). ... "