Insufficient data from Andrew Fryer

The place where I page to when my brain is full up of stuff about the Microsoft platform

IT Camps–What are they good for.

One of the most rewarding yet most difficult part of my job over the last three years has been involved with designing and delivering something called an IT camp.  So I thought it might be useful to explain what they are in case an invite lands in your mailbox. What IT Camps are: Technical. it’s… Read more

How to train your MAML–Redux

Since I wrote this series we have taken on two computer science graduates in the evangelism team in the UK, Amy Nicholson and Bianca Furtuna. Both studied machine learning as part of their courses so I introduced them to this series on Azure ML to get them up to speed.  They have taken this series… Read more

What kind of data person are you?

I have been working with data in one form or another since 1991, but I wouldn’t describe myself as a DBA, data scientist or a developer so what am I, and am I alone? I spent ten of those years doing business intelligence and most of that was working with databases, designing systems data marts,… Read more

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… Read more

Future Decoded – with Data Science

If you have been following my posts on Microsoft’s approach to data science with things like Machine Learning you’ll realise that it’s capable of making predictions. However to be honest it’s not going to tell you what devices and career you’ll have in five years time.  To do that you need expert humans not expert… Read more

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… Read more

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… Read more

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… Read more

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… Read more