R at Microsoft
I was honoured to be the presenter at last night’s meeting of SURF, the 11th largest R user group worldwide. The topic of my presentation was ‘R at Microsoft’, where I described how Microsoft has enthusiastically embraced R for internal use (such as for Azure capacity planning, and Xbox gaming improvements), and as a feature of its data platforms including Azure ML and (soon) SQL Server 2016. Not to mention of course the continued support for Revolution R Enterprise and our R-related open source projects including Revolution R Open.
What roles do you need in your data science team?
Over the past few weeks, we’ve had several conversations in our data lab regarding data engineering problems and day to day problems we face with unsupervised data scientists who find it difficult to deploy their code into production.
How to choose a statistical model
This post was originally published by my partner, Aureus Analytics, a specialist in Insurance Analytics. It is a very interesting illustration of how one would choose a statistical model. I thought you may find it just as interesting and it may help those who are new to analytics.
Interactive Data Visualization using D3.js, DC.js, Nodejs and MongoDB
The aim behind this blog post is to introduce open source business intelligence technologies and explore data using open source technologies like D3.js, DC.js, Nodejs and MongoDB. Over the span of this post we will see the importance of the various components that we are using and we will do some code based customization as well.
Excellent Tutorial on Sequence Learning using Recurrent Neural Networks
Excellent tutorial explaining Recurrent Neural Networks (RNNs) which hold great promise for learning general sequences, and have applications for text analysis, handwriting recognition and even machine translation.