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Self-Organising Maps for Customer Segmentation

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The Self-Organising Map (SOM) is an artificial intelligence technique that can be used to represent complex multi-variate datasets visually in two dimensions - they are used to visualise clusters and identify patterns in large data datas across a multitude of disciplines.

In this talk, there will be an introduction to self-organising maps, and a walk through of their application and interpretation to a example consumer data set. The aim of the talk is that everyone leaves the room knowing the theory and having enough practical knowledge to apply this technique using R in their own domain.

Speaker: Shane Lynn - Senior Consultant in Deloitte Analytics Dept

Contact: @shane_a_lynn (https://twitter.com/shane_a_lynn) / www.shanelynn.ie (http://www.shanelynn.ie/)