http://www.technologyreview.com/computing/26093/?nlid=3420

Google algorithms implement Supervised Learning that can be trained to sort emails into for example categories from grumpy or happy consumers by using a dataset providing lots of examples of both. The API type software could then screen the Emails and handle them accordingly (right)

Google Storage for developers is a service for storing and accessing your data on Google's infrastructure. The service combines the performance and scalability of Google's cloud with advanced security and sharing capabilities  along with an interface storage manager and a GSUtil tool

Still in its early development phase the service is only available to US developers (shades of gmail again) who need to sign on to join a waiting list  - a good application story doubtless helps!

Machine learning is not an easy feature to build into software. Different algorithms and mathematical techniques work best for different kinds of data. Specialized knowledge of machine learning is typically needed to consider using it in a product, says Travis Green, Google's product manager for Prediction API.

Google's service provides a kind of machine-learning black box where a data collection is uploaded, the service told to learn what it can from it, and the submission of new data for the system to react to, based on what it learned.

"Developers can deploy it on their site or app within 20 minutes," says Green. "We're trying to provide a really easy service that doesn't require them to spend month after month trying different algorithms."

Google's black box contains a whole suite of different algorithms. With data uploaded, all the algorithms are automatically applied to discover which works best and this is then used to handle any new information submitted.

For example, a bank or credit-card company wanting to use machine learning to build systems that make decisions based on historical transactions is unlikely to have the specialised staff and necessary infrastructure for what is a computationally intensive approach. "This API could be a way to get a capability cheaply that would cost a huge amount through a traditional route."

Google's new service may be helpful to businesses wary of handing over their data to cloud providers claims one software developer for bank and pharmaceutical companies. "The data can be completely obfuscated, and you can still use this service. Google doesn't have to know if numbers you are sending it are stock prices or housing prices."

Google does, however, get some information that it can use to improve its machine-learning algorithms. "We don't look at users' data, but we do see the same metrics on prediction quality that they do, to help us improve the service," says Green.

Engineers running Prediction API will know if a particular algorithm is rarely used, or if a new one needs to be added to the mix to better process certain types of data. Prediction API has the potential to be a leveler between established companies and smaller startups.

Google storage for developers pricing is usage based at Storage—$0.17/GB/month. Network Upload data to Google $0.10/GB. Download data from Google $0.15/GB for Americas and EMEA $0.30/GB for Asia-Pacific. Requests PUT, POST, LIST—$0.01 per 1,000 requests GET, HEAD—$0.01 per 10,000 requests.

http://www.astrologydetails.com/free-numerology-predictions.html