Take Advantage of Scalable Cloud Compute Directly from Your R Session, with doAzureParallel

Re-posted from the Azure blog. For users of the R language, scaling up their work to take advantage of cloud compute has generally been a complex undertaking. We are therefore excited to announce doAzureParallel, a lightweight R package built on Azure Batch that allows you to easily use Azure’s flexible compute resources right from your… Read more

Announcing Data Science Utilities Version 0.11, for the Team Data Science Process

This post is authored by Hang Zhang, Senior Data Scientist Manager, Gopi Kumar, Principal Program Manager, and Xibin Gao, Data Scientist, at Microsoft. Back in September 2016, we released an early public preview of Team Data Science Process (TDSP), with the goal of supporting secure collaboration within enterprise data science organizations, with capabilities such as… Read more

Add Intelligence to Any SQL App, with the Power of Deep Learning

Re-posted from the SQL Server blog. Recent results and applications involving Deep Learning have proven to be incredibly promising, and across a diverse set of areas too, including speech recognition, language understanding, computer vision and more. Deep Learning is changing customer expectations and experiences around a variety of products and mobile apps, whether we’re aware… Read more

Hello 2017, and Recap of Top 10 Posts of 2016

As we kick off what will surely be another very exciting year of progress in artificial intelligence, machine learning and data science, we start with a quick recap of our “Top 10” most popular posts (based on aggregate readership) from the year just concluded. Here are the posts that had the most page views in… Read more

Using SQL Server 2016 with R Services for Campaign Optimization

This post is authored by Nagesh Pabbisetty, Partner Director of Program Management at Microsoft. We are happy to announce a new Campaign Optimization solution based on R Services in SQL Server 2016, designed to help customers apply machine learning to increase response rates from their leads. This post contains more information about this new solution…. 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 R Server for HDInsight Now Generally Available

This post is by Nagesh Pabbisetty, Partner Director of Program Management. Since we released Microsoft R Server on HDInsight in preview in March 2016, customers have used it for predictive modeling, machine learning, and statistical analysis. With the general availability of R Server for HDInsight customers will be able to leverage the largest portable R-compatible… Read more

Data Manipulation at Scale with Microsoft R Server & Spark on Azure HDInsight

Re-posted from the Revolutions blog. Dealing with distributed data and having to program concurrent systems is not always the easiest of tasks, and data scientists familiar with R are unlikely to have extensive experience with such systems. In such scenarios, Spark offers a very popular, intuitive distributed data processing platform, with R and Python APIs… Read more

Announcing the Winners – Women’s Health Risk Assessment Competition

This post is authored by Hai Ning, Principal Program Manager at Microsoft. We are excited to announce the winners of the Women’s Health Risk Assessment competition, a contest that we launched on the Cortana Intelligence Competition Platform back in July this year. As we shared in an earlier blog entry, according to a World Health… Read more

Speeding Up Azure ML Web Services Containing R or Python Modules

This post is authored by Danil Kirsanov, Senior Developer at Microsoft. Response time is one of the critical parameters of a deployed Azure Machine Learning web service (see this walkthrough for information on how to create an Azure ML experiment and deploy a web service). In this post, we discuss one of the ways to… Read more