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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: 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...
  • 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–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: 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 we get people coming...
  • Blog Post: SQL Server for Data Mining

    SQL Server 2005/2008 has a number of data mining algorithms built in to discover hidden relationships in your data or to use a set of attributes to predict the value of other attributes: Microsoft Association Algorithm . Used to work out which items are most likely to appear together in a transaction...
  • Blog Post: 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 presenting at this week, but there isn’t a lot of...
  • Blog Post: Date for your Diary – How to go from data to decisions

    A key part of business intelligence is the collaboration between the business user and the BI IT professional and so Microsoft are running a one day seminar addressed to both of these audiences. The well renowned BI guru Rafal Lukawiecki is running this on 26th March at Microsoft’s office in Cardinal...
  • Blog Post: Data Mining Epiphany

      Data Mining is like Web 2.0, everyone has their own idea of what it is, and there are loads of people out there who don’t get either of these technologies, despite them having a big impact on our lives. Books have been written on data mining and whole conferences devoted to it. However if you...
  • Blog Post: Data Mining not dead, but possibly forgotten

    With the launch of SQL Server 2008 R2 and SQL Server Denali ctp3 there has been ever more BI functionality built in but nothing has been mentioned about the strange world of data mining . Data mining has been in SQL Server since analysis services was launched but I have rarely seen it being used - it...
  • Blog Post: Data Mining - Good for Your Health?

    Using Data Mining techniques to establish and predict trends is a black art with as many myths and legends as any book by Terry Pratchett.  Like any magic it's only credible if it works and it clearly does, because certain communities are becoming increasingly worried about the unconstrained use...
  • Blog Post: Data Mining in SQL Server 2005, 2008

    Data Mining like every other term in business intelligence seams to mean different things to different people. For me the key things that data mining does are: Assist in discovering relationships in data sets that were previously unknown.  An example would be to get an insight on how age, and gender...
  • Blog Post: 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 to...