New Year & New Updates to the Windows Data Science Virtual Machine

This post is authored by Gopi Kumar, Principal Program Manager in the Data Group at Microsoft. First of all, a big thank you to all users of the Data Science Virtual Machine (DSVM) for your tremendous response to our offering in 2016. We’re looking forward to a similarly great year in 2017. The new year… 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

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

R Tools for Visual Studio 0.5

This post is authored by Shahrokh Mortazavi, Team Lead, Data Science Tools. We’re delighted to announce the availability of RTVS 0.5. Key updates in this release include: Integrated support for SQL and SQL Stored Procedures. Multiple plot windows, plot history with plot thumbnails for navigation. General improvements and bug fixes. SQL Integration SQL databases are… Read more

Energy Demand Forecasting Template Using SQL Server R Services

This post is by Hong Lu, a Data Scientist in Microsoft’s Data Group. Demand forecasting is an important scenario encountered by companies across different industries. Being able to accurately forecast demand helps companies get better at production planning and resource allocation, and also supports their strategic business decision-making. In particular, in the energy sector, demand… Read more

Jupyter Notebooks with R in Azure ML Studio

This post is authored by Andrie de Vries, Senior Program Manager at Microsoft Introduction Azure ML Studio is a powerful canvas for the composition of machine learning experiments and their subsequent operationalization and consumption. In addition to experiments, Azure ML Studio also contains Jupyter notebooks, but until now the notebook kernels have been restricted to Python… Read more

Announcing R Tools for Visual Studio

This post is by Shahrokh Mortazavi, Partner Director of Program Management in the Data Group at Microsoft. I am delighted to announce that Visual Studio now speaks another language: R! R is decidedly the most popular statistical/data analysis language in use today. R Tools for Visual Studio brings together the power of R and Visual Studio… Read more