Now generally available, Azure Machine Learning offers cloud-based advanced analytics designed to simplify and streamline machine learning for business. Users can model their way, with best in class algorithms from Xbox and Bing, R or Python packages, or by dropping in custom R or Python code. The finished model can then be deployed in minutes as a web service, which can connect to any data, anywhere. Lastly, the user can expand their reach, by publishing out to the community in the product Gallery or into the Machine Learning Marketplace, where both application programming interfaces (APIs) and finished services are available.
The current preview pricing for Azure Machine Learning is in effect through March 31, 2015. Starting April 1, 2015, all new and existing Azure Machine Learning subscriptions will automatically be converted to the Standard version and billed accordingly; no action is needed by the user. Existing users not wishing to migrate can delete their workspaces before April 1, 2015. There is no change or charge for the Free version of Azure Machine Learning available from the Azure website.
Azure Machine Learning
Azure Machine Learning offers a streamlined experience for all data scientist skill levels, from setting up with only a web browser, to using drag and drop gestures and simple data flow graphs to set up experiments. Machine Learning Studio features a library of time-saving sample experiments, R and Python packages and best-in-class algorithms from Microsoft businesses like Xbox and Bing. Azure ML also supports R and Python custom code, which can be dropped directly into your workspace. Experiments are easily shared, so others can pick up where you left off.
As you can imagine, we couldn’t be more thrilled with this news. At InteliAthlete Corp, machine learning is at the centerpiece of what we’re trying to achieve – the correlation of data with the athlete’s physical movement, with an evolving “baseline”.
