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

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  • Blog Post: 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 apart...
  • Blog Post: Lab Ops – Working with Azure VMs

    A couple of months ago I had a very interesting chat with Andy a Data Centre admin at CP Ltd about using PowerShell to manage Azure as Andy is partially sighted, and his team mate Lewis is blind (For more on this please read Andy’s post on the TechNet UK blog ) . I wanted to go into some of the PowerShell...
  • Blog Post: 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 really...
  • Blog Post: 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 still a bit more...
  • Blog Post: 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 2 million in the dataset and there...
  • Blog Post: 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...
  • Blog Post: 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 might be useful...
  • Blog Post: 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...
  • Blog Post: Microsoft, and Hadoop for Big Data

    Despite common misconceptions Microsoft now has extensive interoperability with open source technologies for example you can run a php application on Azure, get support from us to run RedHat, SUSE or CentOs on Hyper-V and manage your applications from System Center. ,  So extending this approach...
  • Blog Post: HD Insight

    Despite common misconceptions Microsoft now has extensive interoperability with open source technologies for example you can run a php application on Azure, get support from us to run RedHat, SUSE or CentOs on Hyper-V and manage your applications from System Center . ,  So extending this approach...
  • Blog Post: Cloud Cookery class

    Cooks would rather not wash up, and the best chefs have someone else do the shopping prepare the vegetables etc. and often end up planning and managing the menus and kitchens. In our IT professional world I would rather not worry about patching, I hate doing all the repetitive boring stuff and would...
  • Blog Post: UK Data in the Cloud

    There is still a lot of inertia in the UK about storing data in the cloud for entirely valid reasons and rather vague uncertainties and doubt. For a few organisations keeping data in the cloud is exactly the right thing to do because those organisations want to actively share their information, the most...
  • Blog Post: Application Platform Knowledge Hub

    Albert Einstein once remarked that you don’t need to remember everything, you just needed to remember where to look.  When it comes to learning about Microsoft products this can sometimes be harder than it ought to be and what resources there are can be fragmented so you do have to remember where...