Cortana – Remembering the Future

If you have ever watched the Star Trek First Contact film the crew allude to the fact that then star ship Enterprise is named after the first space shuttle, when actually it’s the other way around the first space shuttle was so named because over 2 million star trek fans lobbied NASA to call it…


Azure Data Services for Predictive Analytics

In my last post I hopefully explained that business intelligence works very well on Azure and with new services like the Azure Data Warehouse and Power BI (Not strictly part of Azure but a Microsoft¬† online service). However while BI is good at showing some trends and how a limited number of factors affect that…


How to train your maml – Publishing your work

Before I get into my next post you may have noticed that ML has changed compared with a few weeks ago -the main page previews experiments differently, and the visualization of data has also changed.. One other problem hit me and that was some of the parts of my demo experiment didn’t work or ran…


How to train your MAML

In this fourth post in my Azure Machine Learning series we are actually going to do the training itself.  I have tidied up my experiment from last time to get rid of the modules to export data to SQL Azure as that has now served it’s purpose .. Before we get stuck into training there’s…


How to train your MAML – Looking at the data in SQL Azure

In my last post we saw how to clean, transform and join datasets. I also mentioned I had trouble doing the join at all and even now it’s not quite right so how can we look at the data and find out what’s going on.  The visualisation option only shows a few rows of the…


How to Train your MAML– Refining the data

In my last post we looked at how to load data into Microsoft Azure Machine Learning using the browser based ML Studio.  We also started to look at the data around predicting delayed flights and identified some problems with it and this post is all about getting the data into the right shape to ensure…


How to train your MAML – Importing data

In my last post I split the process of using Microsoft Azure Machine Learning (MAML) down to four steps: Import the data Refine the data Build a model Put the model into production. Now I want to go deeper into each of these steps so that you can start to explore and evaluate how this…


Adventure Works!

My title for this post is a pun on the Adventure Works databases, and samples that have been in SQL Server since I can remember and pops up in the database and in analysis and reporting services.  There were also some data mining examples ( as referenced in  this old post) but this has not…