Bringing AI to BI – Text Analytics in Azure Machine Learning

This post is authored by Sudarshan Raghunathan, Principal Software Engineering Manager, Darren Edge, UX Architect, and Jonathan Larson, Principal Data Architect, at Microsoft. Azure Machine Learning Studio provides a Swiss-army knife of tools to operate on text datasets in a robust and efficient manner. For instance, there is a suite of built-in modules for lower-level… Read more

Announcing the Availability of the Linux Data Science Virtual Machine

This post is by Gopi Kumar, Senior Program Manager in the Microsoft Data Group. As a follow-up to the launch of the Windows Data Science Virtual Machine, we’re thrilled to announce the immediate availability of the Linux Data Science Virtual Machine on the Azure marketplace. This is a custom VM image built on the OpenLogic… Read more

Distributed Cloud-Based Machine Learning

This post is authored by Dhruv Mahajan, Sundararajan Sellamanickam and Keerthi Selvaraj, Researchers at Microsoft’s Cloud & Information Services Lab (CISL) and at Microsoft Research. Enterprises of all stripes are amassing huge troves of data assets, e.g. logs pertaining to user behavior, system access, usage patterns and much more. Companies will benefit enormously by using… Read more

Vowpal Wabbit Modules in AzureML

This post is authored by Sudarshan Raghunathan, Principal Development Lead for modules in the Microsoft Azure ML Studio team based in Cambridge, MA. In his blog post last month, John Langford wrote about the open source Vowpal Wabbit (VW) machine learning (ML) system. He highlighted some of the main advantages of VW, e.g. its performance… Read more

Vowpal Wabbit for Fast Learning

This blog post is authored by John Langford, Principal Researcher at Microsoft Research, New York City. Vowpal Wabbit is an open source machine learning (ML) system sponsored by Microsoft. VW is the essence of speed in machine learning, able to learn from terafeature datasets with ease. Via parallel learning, it can exceed the throughput of… Read more