How Machine Learning Ate Microsoft
snydeq writes Yesterday's announcement of Azure Machine Learning offers the latest sign of Microsoft's deep machine learning expertise — now available to developers everywhere, InfoWorld reports. "Machine learning has infiltrated Microsoft products from Bing to Office to Windows 8 to Xbox games. Its flashiest vehicle may be the futuristic Skype Translator, which handles two-way voice conversations in different languages. Now, with machine learning available on the Azure cloud, developers can build learning capabilities into their own applications: recommendations, sentiment analysis, fraud detection, fault prediction, and more. The idea of the new Azure offering is to democratize machine learning, so you no longer need to hire someone with a doctorate to use a machine learning algorithm."
So how did MS apply "machine learning" to make Bing not suck? By holding an internal competition to see who's algorithm processed "user improvement program" data best. So that essentially meant training it up to match Google search results (and presumably, which links "consenting" users clicked).
(OK, I'm sure they've come a long way since then on their own merits, but we can't let them live that one down ;-)
Baing about to finish a PhD this is worrying thinking that the deep understanding of a technique can be replaced by a well programmed API. But of course managerial people, a.k.a decission makers will eat that raw. If you want my data just ask for it.
Sounds like Reason..
Reason allows users to specify in advance the decision they want it to reach, and only then to input all the facts. The program's task was to construct a plausible series of logical-sounding steps to connect the premises with the conclusion. The only copy was sold to the US Government for an undisclosed fee.
Let me be clear: what applies to Azure as a foreigner applies also to Amazon/AWS, Google, Rackspace, IBM/SoftLayer, CenturyLink, DigitalOcean, Vultr, Linode, PeerOne or any other US-based company (even if they run the service in Europe for example).
But I noticed there are others in the world, for example on the OpenStack Marketplace:
http://www.openstack.org/marke...
New things are always on the horizon