Category: R Programming

Choosing a machine learning (ML) platform can be a cause of considerable stress. It’s a major commitment you will have to live with for years and an unwise decision might even affect your job prospects. Fortunately, asking yourself a few fundamental questions can simply the decision considerably. Are you primarily a Windows Shop? In recent […]

Using Microsoft olapR to Bring Analysis Services OLAP Data Into R Online Anaytical Processing (OLAP) and the R statistical language are both children of the 1990s. However, for much of the intervening time they inhabited different worlds. OLAP, and its query language MDX, lived in the world of databases and queries while R was the […]

Microsoft asserts that SQL Server is the first database with “built-in” artificial intelligence. Of course, no phrase suffers more definitions than “artificial intelligence”, so rather than quibble about AI, we’ll just take a look at the technologies that support Microsoft’s claim. Moving Machine Learning to the Server-Side Great excitement followed the introduction of the integration […]

R Server is dead! Long live Machine Learning Server! The introduction of Microsoft R Server with SQL Server 2016 was tremendously exciting for data scientists and analysts working with “Big Data”. When SQL Server 2017 was released, many were shocked to see that R Server was gone. They were, however, relieved to discover that R […]

In the previous blog, we looked at some of the annoyances encountered when installing RODBC on Linux. Of course, RODBC can also be used in R running on Windows. In either case, running queries using RODBC is straightforward and without surprises. As is always the case, the first thing we need to do is connect. […]