Insufficient data from Andrew Fryer

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

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

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–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

Learning Machine Learning using a Jet Engine

In this post I want to try and explain what machine learning is and put into context with what we used to do when analysing and manipulating data.  When I started doing all this the hot phrase was Business Intelligence (BI),  but this was preceded by EIS (Executive Information Systems) and DSS (Decision Support Systems). … Read more

Business Intelligence for the Private Cloud part 1

If you have looked at any of the new components of System Center 2012 you may have noticed that everyone seems to have a bunch of reports, some of them have data marts or data warehouses and some of them have analytics in the form of analysis services cubes.  Apart from the confusion over when… Read more

SQL Relay

I am in the middle of SQL relay this week, but I just realised that you might like to have a copy of my Denali slide deck, which I have now posted to SkyDrive. You are welcome to have a look at it even if you couldn’t make one of the four venues I am… Read more

Query Across the Mersey

SQL Bits 9, Adelphi Hotel Liverpool 29th September to 1 October 2011, what else do you need to know? Well possibly a few things if you are now reading the second line of this post or you haven’t been to them before.. It’s the biggest and best SQL event in Europe, I know this because… Read more