Microsoft has announced the General Availability of the Azure Machine Learning Service.
Additional new capabilities with today's release include:
- The ability to create a configurable custom R module, incorporate your own train/predict R-scripts, and add python scripts using a large ecosystem of libraries such as numpy, scipy, pandas, scikit-learn etc. You can now train on terabytes of data using “Learning with Counts”, use PCA or one-class SVM for anomaly detection, and easily modify, filter, and clean data using familiar SQLite.
- Azure ML Community Gallery that allows you to discover & learn experiments, and share through Twitter and LinkedIn. You can purchase marketplace apps through an Azure subscription and consume finished web services for Recommendation, Text Analytics, and Anomaly Detection directly from the Azure Marketplace.
- A step-by-step guide for the Data Science journey from raw data to a consumable web service to ease the path for cloud-based data science. We have added the ability to use popular tools such as iPython Notebook and Python Tools for Visual Studio along with Azure ML.
The ML Gallery looks especially cool, and should help expand the utilization of this service extensively. http://gallery.azureml.net/