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Davide Mauri

A place for my thoughts and experiences the Microsoft Data Platform

Iris Multi-Class Classifier with Azure ML

As many of us I’m passionate about informatics *and* mathematics which, of course, lead me to be passionate about the outcome of their marriage: Databases and Machine Learning.

Now that Machine Learning is becoming a kind of a “commodity” thanks to AzureML I can finally start to use it in any projects, even the not-so-big-ones.

AzureML, for those who doesn’t yet know it, is the Machine Learning offer for the cloud by Microsoft. You can freely start to use it just activating your subscription here:

Once activated you’ll find a lot of ready-to-be-used stuff. From “experiments” (kind of “programs”) and dataset and components and models (algorithms).

One thing I noticed is missing is the full Iris Dataset, one of the most famous and used dataset to start to learn machine learning. In AzureML you can find a subset of it, usable for binary classification, but the original one is much more interesting since it can be used to do a multiclass classification.

In order to fill this little gap and to create an easy tutorial to help everyone to start to get confident with AzureML and machine learning in general, I’ve created a 10-Step (well…Italian way of 10 steps Winking smile) tutorial that can be found here: 

or here

choose the website you prefer Smile and start to play!

As usual, comments and feedbacks are more than welcome!

Published Monday, February 2, 2015 12:54 PM by Davide Mauri

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About Davide Mauri

Director of Software Development & Cloud Infrastructure @ Sensoria, an innovative smart garments and wearable company. After more than 15 year playing with the Microsoft Data Platform, with a specific focus on High Performance databases, Business Intelligence, Data Science and Data Architectures, he's now applying all his skills to IoT, defining architectures to crunch numbers, create nice user experiences and provide meaningful insights, all leveraging Microsoft Azure cloud. MVP on Data Platform since 2006 he has a very strong background development and love both the ER model and OO principles. He is also a fan of Agile Methodology and Automation, which he tries to apply everywhere he can, to make sure that "people think, machines do".

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