Microsoft Has Launched Azure Machine Learning Platform for Big Data Integrations
We know that huge amount of data is constantly streaming in companies from different data sources over the Internet. To make use of this data, Microsoft has planned to build application program interfaces (APIs) which will use machine learning technology for the purpose of using the data in the cloud.
The machine learning service, which Microsoft officially announced at the Strata Conference, called Azure Machine Learning is now available for general use. The beta release of the service took place in June, and in the current announcement, Microsoft has mentioned some add-ons over the service.
The service is designed for the machine learning capabilities. Predefined templates and workflows enable companies produce predictive applications readily. Additionally, the service allows users to publish APIs and web services via Azure machine learning platform.
Joseph Sirosh who is corporate vice president at Microsoft and in charge of the Azure ML told TechCrunch that the latest version supports Python and the popular functional language R. “We have added Python, which is a big favorite of data scientists. There is a huge ecosystem for this,” Sirosh voiced.
“We made a lot of improvements and adding Python was part of that. Azure Machine Learning is the platform. You can copy a bit of Python code and plug it into the studio and create an API,” he added.
Moreover, the platform encompasses many new tools for processing big data as it supports Hadoop, an open-source software developer and Spark which is an engine for big data processing. Before the arrival of Azure ML, identification of the data set and development of applications to support that took couple of weeks.
The companies would first require scientists to identify a typical data set and then IT experts to build the application. However, with Azure ML, the same procedure could be done in few hours, Sirosh explained.
“Data scientists can publish APIs with a few clicks. Applications can include R code, python code [or a combination]. It’s such an incredible selection of capabilities,” he said.
Sirosh said that despite of the fact that large numbers of services are being offered by competitors like IBM and SAS, Azure ML is undoubtedly the most effective service with integration of number of capabilities.
“This is an integrated tool set that’s fully managed,” he said. “You don’t have to install hardware and software and you can do advanced learning and analytics.”