Fun with ML, Stream Analytics and PowerBI – Observing Virality in Real Time

This post is authored by Corom Thompson and Santosh Balasubramanian, Engineers in Information Management and Machine Learning at Microsoft. To subscribe to this blog, click here. Updated 5/2/2015 We’ve had some questions so we updated this post to be more clear. To answer the top one: No we don’t store photos, we don’t share them… Read more

Rapid Progress in Automatic Image Captioning

This blog post is authored by John Platt, Deputy Managing Director and Distinguished Scientist at Microsoft Research. I have been excited for many years now in the grand challenge of image understanding. There are as many definitions of image understanding as there are computer vision researchers, but if we can create a system that can… Read more

The Joy (and Hard Work) of Machine Learning

This blog post is authored by Joseph Sirosh. Few people appreciate the enormous potential of machine learning (ML) in enterprise applications. I was lucky enough to get a taste of its potential benefits just a few months into my first job. It was 1995 and credit card issuers were beginning to adopt neural network models… Read more

Machine Learning at Microsoft

This blog post is authored by Joseph Sirosh, Corporate Vice President of Machine Learning at Microsoft. Some months ago, my colleague and friend John Platt and I were bouncing around a few ideas to disseminate the deep advances and practical expertise that Microsoft has accumulated over the years in the field of machine learning (ML). We… Read more

Introducing Jupyter Notebooks in Azure ML Studio

Posted by Shahrokh Mortazavi, Partner Director of Program Management at Microsoft. Azure ML Studio is a powerful canvas for the composition of machine learning experiments and their subsequent operationalization and consumption. Although the Studio provides an easy to use, yet powerful, drag-drop style of creating experiments, you sometimes need a good old “REPL” to have a… Read more

Introducing Microsoft R Server 9.0

This post is authored by Nagesh Pabbisetty, Partner Director of Program Management at Microsoft. To thrive in today’s data-driven world, businesses increasingly need more powerful analytics solutions to predict customer behavior and discover new opportunities. However, existing solutions often fail to deliver enough insights, fast enough. At Microsoft, we continue to invest deeply in advanced… Read more

Microsoft Closes Acquisition of Revolution Analytics

This blog post is authored by Joseph Sirosh, Corporate Vice President of Information Management & Machine Learning at Microsoft. Earlier this year we announced our intent to acquire Revolution Analytics and today I’m happy to say we have closed the acquisition agreement. It is my pleasure to welcome the Revolution team to Microsoft. Together we… Read more

Python Tools for Visual Studio now integrates with Azure Machine Learning

This blog post is authored by Shahrokh Mortazavi, Partner Director of Program Management on the Microsoft Azure Machine Learning team. Two languages are closely associated with Data Science today – R and Python. In Azure ML we’ve supported R for some time – and very soon we’ll add full Python support as well. This includes a… Read more

Announcing the Availability of the Microsoft Data Science Virtual Machine

This blog post is by Gopi Kumar, Senior Program Manager in the Microsoft Data Group. We are very happy to announce the immediate availability of the Microsoft Data Science Virtual Machine – a Windows Server 2012 -based custom virtual machine image on the Azure marketplace containing several popular tools that can be used by data… Read more

Making R the Enterprise Standard for Cross-Platform Analytics, Both On-Premises and in the Cloud

By Joseph Sirosh, Corporate Vice President, Microsoft Data Group Less than a year ago we decided to acquire Revolution Analytics, the leading commercial provider of software and services for R, the world’s most widely used programming language for statistical computing and predictive analytics. At the time, we committed to building R and Revolution’s technology into… Read more