Blog Archives

Essential list of useful R packages for data scientists

I have written couple of blog posts on R packages (here | here ) and this blog post is sort of a preset of all the most needed packages for data science, statistical usage and every-day usage with R. Among

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SQL Server 2017 Machine Learning services with R book

Yes, I am finally blogging this. 🙂 This blog post is slighty different, since it brings you the tittle of the book, that my dear friend Julie Koesmarno (blog | twitter) and I have written in and it was published

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Is it possible to use RevoScaleR package in Power BI?

I was invited to deliver a session for Belgium User Group on SQL Server and R integration. After the session – which we did online using web based Citrix  – I got an interesting question: “Is it possible to use

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rxNeuralNet vs. xgBoost vs. H2O

Recently, I did a session at local user group in Ljubljana, Slovenija, where I introduced the new algorithms that are available with MicrosoftML package for Microsoft R Server 9.0.3. For dataset, I have used two from (still currently) running sessions

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First @SLODUG Meeting in 2017

We had our first SQL Server User Group SLODUG meeting in this year. Event took place at Microsoft Slovenija, 09.Feb.2017 with cca 15 people showing up. Along 15 people we had 8 pizzas and some 20 beers 🙂 Scheduled were

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R and SQL Server articles

In past couple of months, I have prepared several articles on R and SQL Server that have been published on SQL Server Central. The idea was, to have couple of articles covering the introduction to R, to basics on R

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RevoScaleR package for Microsoft R

RevoscaleR Package for R language is  package for scalable, distributed and parallel computation, available along with Microsoft R Server (and in-Database R Services). It solves many of limitations that R language is facing when run from a client machine. RevoScaleR

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Performance comparison between kmeans and RevoScaleR rxKmeans

In my previous blog post, I was focusing on data manipulation tasks with RevoScaleR Package in comparison to other data manipulation packages and at the end conclusions were obvious; RevoScaleR can not (without the help of dplyrXdf) do piping (or

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Sharing thoughts on satRdays R Conference, Budapest 2016 #satRdays

First satRdays in Budapest September 03, 2016 event is completed. This one day, community driven event with regional for very affordable prices, good for networking, getting latest from R community event is over. And it was a blast! Great time,

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